Photo-induced stereoselective 2-deoxyglycoside synthesis from glycals with carboxylic acids and alcohols

Xianrong Zeng Hui-Ying Shi Huiqian Huang Zhaobin Wang

Citation:  Xianrong Zeng, Hui-Ying Shi, Huiqian Huang, Zhaobin Wang. Photo-induced stereoselective 2-deoxyglycoside synthesis from glycals with carboxylic acids and alcohols[J]. Chinese Chemical Letters, 2026, 37(5): 111615. doi: 10.1016/j.cclet.2025.111615 shu

Photo-induced stereoselective 2-deoxyglycoside synthesis from glycals with carboxylic acids and alcohols

English

  • Carbohydrates, fundamental biomolecules participating in nearly every aspect of life, mediate critical biological processes through their roles in glycoproteins, glycolipids, and polysaccharides, influencing cellular recognition, signaling, immunity, and pathogenesis [19]. Within this diverse class, 2-deoxysugars are prominent structural motifs in numerous bioactive natural products, including clinically vital antibiotics and anticancer agents (Fig. 1a) [1013]. The absence of the C2-hydroxyl group, however, presents unique and significant challenges for their chemical synthesis [1420]. Traditional glycosylation methods often struggle with controlling the stereochemical outcome at the anomeric center without a participating group at C2, and the inherent reactivity of 2-deoxy donors can lead to undesired side reactions or necessitate harsh conditions incompatible with sensitive substrates [14,20].

    Figure 1

    Figure 1.  The importance of 2-deoxyglycosides and their photo-induced synthesis via glycals.

    Recent advances have witnessed a paradigm shift toward the use of glycals as glycosyl donors. Glycals, by virtue of their electron-rich double bond, offer a distinct advantage by facilitating glycosylation under conditions that minimize side reactions [14,20]. Conventional approaches using these donors have predominantly relied on acid‐ or metal‐mediated activation (Fig. 1b). While powerful, these ionic methods can face issues regarding functional group tolerance and stereocontrol. Organocatalytic alternatives, such as those utilizing electron-deficient pyridinium salts or thioureas, have emerged, offering pathways to 2-deoxyglycosides with notable stereoselectivity, yet often remain rooted in ionic mechanisms or face limitations in substrate scope. Despite these advances, the exploration of fundamentally different activation modes is still in high demand.

    Photoredox reaction presents a compelling alternative, enabling the generation of radical intermediates under exceptionally mild conditions and inspiring novel glycosylation approaches [2127]. Radical-based glycosylations, in particular, offer potential advantages including unique selectivity profiles and compatibility with unprotected substrates [2834]. Elegant work by Huang and co-workers demonstrated the feasibility of photochemical glycal activation for acetal synthesis [3538], while subsequent contributions from the Wang [39] and Ye [40] groups showcased the power of acridinium photoacids and visible-light promotion, respectively, for the stereocontrolled glycosylation of glycals with alcohols via proposed radical cation intermediates. Concurrently, the O-glycosylation of carboxylic acids remains a crucial transformation, given the prevalence of acyl glycosides in nature and pharmaceuticals, where glycosylation often enhances solubility and targeting [30,4145]. Despite progress in radical-based methods using other donors, the direct photo-induced O-glycosylation of glycals specifically with carboxylic acids represents an underexplored area.

    Herein, we describe a photo-induced, metal-free O-glycosylation methodology utilizing catalytic amounts of acridinium salts. This approach harnesses visible light to efficiently couple glycals with both carboxylic acid and alcohol nucleophiles, providing facile access to a diverse range of 2-deoxyglycosides. The transformation proceeds under mild conditions, obviates the need for substrate pre-activation, exhibits excellent stereoselectivity, and demonstrates applicability in the late-stage functionalization of bioactive compounds. By integrating concepts from radical chemistry and photoredox catalysis, this work offers a versatile and practical expansion of the synthetic toolbox for carbohydrate chemistry.

    Our investigation commenced with the optimization of the photo-induced O-glycosylation using readily available tri-O-benzyl-D-glucal (1a) and benzoic acid (2a) as model substrates (Table 1). A systematic evaluation of reaction parameters revealed that employing 5 mol% of the acridinium salt [22,46] PC1 in chloroform under 425 nm blue LED irradiation provided the desired α−2-deoxyglycoside 3a in good yield (75%) and with high diastereoselectivity (19:1 α/β ratio) (Table 1, entry 1). Control experiments confirmed the necessity of both the photosensitizer PC1 and light irradiation for the reaction to proceed (entries 2 and 3). The photosensitizer loading could be reduced to 2 mol% (PC1) with only a minor decrease in efficiency (entry 4). While alternative acridinium salts also facilitated the transformation (entries 5 and 6), common organic photosensitizers like 4CzIPN (PC4) or iridium-based photosensitizer proved ineffective (entry 7). Variations in stoichiometry showed that using either 1.2 equiv. of benzoic acid (2a) or employing 2a as the limiting reagent maintained reaction efficiency, albeit with slightly lower yields (entries 8 and 9). Solvent screening indicated that chlorinated solvents such as dichloromethane (DCM) and 1,2-dichloroethane (DCE) were also suitable, affording 3a in good yields (entries 10 and 11), whereas coordinating solvents like tetrahydrofuran (THF) and dimethylformamide (DMF) significantly hampered the reaction (entry 12). The reaction demonstrated robustness with respect to time and temperature, providing comparable results when the reaction time was shortened to 24 h or conducted at ambient temperature (25 ℃) (entries 13 and 14). Sensitivity to atmospheric oxygen was observed, as intentional air injection led to a diminished yield (entry 15). Furthermore, the presence of water proved detrimental, completely inhibiting product formation (entry 16), highlighting the need for anhydrous conditions.

    Table 1

    Table 1.  Effect of reaction parameters for the 2-deoxyglycosylation of benzoic acid.
    DownLoad: CSV
    Entry Variations from “standard conditions Yield (%)a α/βa
    1 No change 75 19:1
    2 Without PC1 < 2
    3 Without light < 2
    4 2 mol% PC1, instead of 5 mol% 73 12:1
    5 PC2, instead of PC1 54 5:1
    6 PC3, instead of PC1 22 4:1
    7 PC4 or PC5, instead of PC1
    8 1.2 equiv. 2a, instead of 1.5 equiv. 65 11:1
    9 1.5 equiv. 1a and 1.0 equiv. 2a 73 > 20:1
    10 DCM, instead of CHCl3 58 > 20:1
    11 DCE, instead of CHCl3 60 > 20:1
    12 THF, or DMF, instead of CHCl3 < 2
    13 24 h, instead of 36 h 70 9:1
    14 25 ℃, instead of 35 ℃ 61 19:1
    15 1.0 mL air was added 48 13:1
    16 1.0 equiv. water was added < 2
    a The yields and ratios were determined via 1H NMR analysis with dibromomethane as the internal standard.

    With the optimized conditions established (Table 1, entry 1), we next explored the substrate scope with respect to both the glycal donors and carboxylic acid acceptors (Fig. 2). The protocol demonstrated good generality for various glycal derivatives; donors derived from D-glucal, D-galactal, L-rhamnal, and L-fucal, and D-Xylal all participated effectively, furnishing the corresponding 2-deoxyglycosylation products (3a3h) in moderate to good yields and with high stereoselectivity. Similarly, a broad range of carboxylic acids proved compatible. Both aliphatic and aromatic carboxylic acids, encompassing varied steric profiles from phenethyl to cyclohexyl groups, reacted smoothly to yield the desired 2-deoxyglycosides (4a4q). Significantly, the mild reaction conditions allowed for excellent functional group tolerance. Substrates bearing terminal olefins (4b), terminal alkynes (4c), sulfones (4d), alkyl fluorides (4h), alkyl ethers (4k), phenols (4m), aryl boronates (4n), aryl bromides (4p), and benzofurans (4q) were all well-tolerated. Increasing steric bulk of the carboxylic acid generally enhances α-selectivity in secondary aliphatic acids (4e4g). However, substitution of cyclohexyl with a gem-difluoromethylene group in 4i slightly diminishes selectivity (α/β = 8:1), likely due to the electron-withdrawing nature of the CF2 unit. The method also exhibited noteworthy chemoselectivity. When salicylic acid was employed, glycosylation occurred preferentially at the carboxylic acid over the phenol group, yielding 4m as the major product.

    Figure 2

    Figure 2.  The scope of glycals and carboxylic acids.

    The late-stage functionalization of complex molecular scaffolds through glycosylation represents a powerful strategy in modern drug discovery and chemical biology, enabling the diversification of lead compounds and the modulation of pharmacokinetic properties. To demonstrate the utility of our photo-induced O-glycosylation protocol in this challenging context, we investigated its application to the modification of amino acid derivatives, bioactive natural products, and approved drugs using glycals as 2-deoxyglycosyl donors. As illustrated in Fig. 3, the reaction proceeded effectively under the optimized conditions, furnishing the desired 2-deoxyglycosylated products (4r4ak) in moderate to good yields and exhibiting consistently good α-stereoselectivity. Notably, the methodology proved amenable to the glycosylation of amino acid and dipeptide substrates, showcasing its potential for constructing glycopeptide mimetics, analogous to advancements seen in radical S-glycosylation methodologies. Furthermore, diverse bioactive compounds and pharmaceuticals were successfully glycosylated. This highlights the method's functional group tolerance and its potential utility for enhancing crucial drug properties, such as aqueous solubility. The ability to readily introduce 2-deoxyglycan motifs onto these intricate structures underscores the practical value of this photo-promoted approach for late-stage molecular functionalization.

    Figure 3

    Figure 3.  The scope of 2-deoxyglycosylation for natural products and bioactive compounds.

    Following the successful application of carboxylic acids, we investigated the scope of alcohol nucleophiles (Fig. 4). A diverse array of primary and secondary aliphatic alcohols served as competent glycosyl acceptors, readily participating in the reaction to afford the corresponding α−2-deoxyglycosides (6a6m) in moderate to good yields, typically with moderate α-stereoselectivity. The mild, metal-free nature of the reaction ensured broad functional group compatibility, tolerating various sensitive moieties. Consistent with steric control, competition experiments demonstrated chemoselectivity, favoring reaction with primary alcohols over more hindered tertiary alcohols (e.g., formation of 6e). Importantly, the protocol's utility extended to structurally complex and functionally diverse alcohols. N-Boc protected amino alcohols, chiral secondary alcohols, and carbohydrate derivatives all reacted smoothly, yielding the desired glycosylated products (6n6x) and showcasing the method's robustness. This broad applicability to different alcohol classes further establishes this photo-promoted strategy as a valuable tool for accessing diverse α−2-deoxyglycosides under mild conditions.

    Figure 4

    Figure 4.  The scope of alcohols for the stereoselective O-glycosylation of glycals.

    To elucidate the reaction pathway underlying this photo-induced 2-deoxyglycosylation, a series of mechanistic experiments were conducted (Fig. 5). Control reactions confirmed that both the acridinium salt (PC1) and visible light irradiation are essential for product formation (Table 1), consistent with a photo-initiated process. When the model reaction between glycal 1a and benzoic acid 2a was performed in the presence of 2 equiv. of the radical scavenger TEMPO, glycosylation was significantly suppressed (<2% yield), implicating the involvement of radical intermediates (Fig. 5a). However, no TEMPO adducts were definitively detected via mass spectrometry, preventing unambiguous confirmation of direct radical trapping under these specific conditions. Light on-off experiments provided further insight; the reaction employing benzoic acid exhibited a distinct induction period and, crucially, continued to proceed after the light source was removed (Fig. 5b). This observation suggests the operation of a chain-reaction mechanism, or the formation of a persistent active catalytic species generated under irradiation. A similar light on-off experiment using benzyl alcohol nucleophile also showed continued reaction progress in the dark, although without a noticeable induction period (Fig. 5c). To probe specific radical intermediates, a trapping experiment was designed using unsaturated alkene 7, known to intercept alkyl radicals. Under slightly modified conditions, these experiments yielded no expected glycosylation product 3a or 6b but resulted in HRMS evidence for the formation of possible adducts 8a and 8b, potentially arising from the trapping of a C-2 centered alkyl radical derived from the glycal (Fig. 5d). Collectively, these preliminary results suggest a complex mechanism. While distinct from photo-promoted pathways reported to cease upon light removal, the current data accommodate several possibilities, including nucleophilic addition to a photogenerated glycal radical cation, a radical chain process, or the generation of an alternative catalytically active species [35,39,40,47]. Further detailed kinetic and spectroscopic studies are required to distinguish between these potential pathways.

    Figure 5

    Figure 5.  Mechanistic investigations.

    Having elucidated the potential photo-promoted pathway underlying this methodology, we next sought to evaluate its functional utility by applying the protocol to the 2-deoxyglycosylation of NSAIDs, probing the impact of glycosylation on their biological activity. With our protocol, the 2-deoxyglycosylated aspirin 9 and indomethacin 10 were successfully synthesized (Scheme 1). Previous studies have suggested the neuroprotective effects of NSAIDs at the cellular level [48,49]. We thus examined the neuronal growth after treatment with aspirin or modified-aspirin, as the classic and most commonly used type of NSAID. Indeed, both these chemicals at an optimal dose of 100 µmol/L favored neuronal growth in primary hippocampal neuron culture at 11 days in vitro (DIV) (Figs. 6a and 6). Furthermore, modified-aspirin exhibited a more potent effect in promoting neuronal dendrite growth compared with aspirin, demonstrated by a significant increase in dendritic intersections and area under the curve (AUC) in Sholl analysis (Figs. 6c-f) [50]. Similarly, modified-indomethacin also promoted neuronal growth and significantly enhanced dendritic complexity and arborization compared with indomethacin, at a recommended dosage (Figs. 6g-l) [51]. These data collectively indicated that the addition of sugar-epitopes to aspirin and indomethacin significantly strengthen their neuroprotective potency and promotes neuronal development at the early stage. Dendritic complexity, reflected by the branching, length, and interconnections, determines neuronal connectivity and communication through expanding synaptic surface area, allowing neurons to integrate inputs and sustain higher-order functions like learning, memory, and plasticity [52,53]. Deficits in dendritic structure are hallmark features of numerous neurodevelopmental and neurodegenerative disorders, including autism spectrum disorder, Fragile X syndrome, schizophrenia and Alzheimer’s disease, where disrupted connectivity correlates with cognitive and behavioral impairments [53,54]. By identifying a chemical strategy that potently enhance the capability of compound for promoting dendritic growth, our work suggests a potential therapeutic strategy to ameliorate structural deficits in brain disorders, though future studies must validate efficacy in vivo and assess risks of unintended circuit formation to balance enhanced connectivity with neurological safety.

    Scheme 1

    Scheme 1.  Synthesis of 2-deoxyglycosylated aspirin and indomethacin.

    Figure 6

    Figure 6.  Sugar-modified aspirin or indomethacin favors neuronal growth and promotes dendrite development. (a) Representative images of primary cultured hippocampal neurons treated with compounds as indicated. Scale bar: 100 µm. (b) Quantification of the percentage of developing neurons. n = 15, 12, 12, 13, 13, 14, 13 regions for control, aspirin (Asp) and 2-deoxyglycosylated aspirin (Asp-plus) at 25, 100 and 500 µmol/L, respectively. (c) Representative images of single hippocampal neuron treated with compounds as indicate (left), and images processed by Sholl analysis (right). Scale bar: 40 µm. (d) The dendritic complexity of hippocampal neurons analyzed by Sholl analysis. (e) Quantification of maximum intersection numbers in (d). (f) Quantification of the area under curve (AUC) shown in (d). For (d-f), n = 15, 12 and 13 neurons for control, Asp and Asp-plus groups. (g) Representative images of primary cultured hippocampal neurons treated with compounds as indicated. Scale bar: 100 µm. (h) Quantification of the percentage of developing neurons. n = 18, 12, 13 regions for Control, Indomethacin (Indo) and 2-deoxyglycosylated Indo (Indo-plus) conditions, respectively. (i) Representative images of single hippocampal neuron treated with compounds as indicated. Scale bar: 40 µm. (j) The dendritic complexity of hippocampal neurons analyzed by Sholl analysis. (k) Quantification of maximum intersection numbers in (j). (l) Quantification of the AUC shown in (j). For (j-l), n = 15, 12 and 13 neurons for control, Indo and Indo-plus groups, respectively. For all images, neurons at 11 DIV were co-stained with MAP-2 (green) and DAPI (blue). All data are shown as the mean ± SEM. P < 0.05, **P < 0.01.

    We next examined whether structural plasticity induced by modified NSAIDs extends beyond accelerating dendritic maturation to functionally enhance synapse development critical for circuit integrity. To evaluate this, we quantified the density and size of PSD-95, a postsynapse-enriched scaffolding protein essential for synaptic stability, maturation, and activity-dependent plasticity [55,56]. Both modified-aspirin and modified-indomethacin significantly increased the density and size of PSD-95 puncta compared with aspirin or indomethacin, indicative of a more mature stage of synapse (Figs. 7a-f). Kainic acid (KA) is a nondegradable structural analog to glutamate and therefore acts as a neurotoxic chemical, leading to an increase of inflammatory molecules followed by neuronal death [57,58]. KA treatment has been found to cause pathological changes in rodent brains and is commonly used to mimic the human neurodegenerative disorders [59,60]. Indeed, both density and size of the PSD-95 puncta got significantly reduced after KA treatment in cultured hippocampal neurons. Notably, either modified-aspirin or modified-indomethacin rather than their original forms restored the state of PSD-95 to as comparable as the control group (Figs. 7g-i). By integrating O-glycosylation’s capacity to enhance dendritic complexity with its ability to stabilize synapses against KA-induced excitotoxicity, our strategy uniquely addresses both the structural and functional deficits underlying neurodevelopmental and neurodegenerative disorders, offering a unified intervention to mitigate cognitive deficits rooted in synaptic dysfunctions.

    Figure 7

    Figure 7.  Sugar-modified aspirin or indomethacin promotes synapse maturation and protects neuron from KA-induced neurotoxicity. (a) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (b) Quantification of PSD-95 puncta density. (c) Quantification of PSD-95 puncta size. For (b, c), n = 35 and 36 dendrites from 12 neurons each for Asp and Asp-plus groups. (d) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (e) Quantification of PSD-95 puncta density. (f) Quantification of PSD-95 puncta size. For (e, f), n = 35 and 39 dendrites from 12 and 13 neurons for Indo and Indo-plus groups, respectively. (g) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (h) Quantification of PSD-95 puncta density. (i) Quantification of PSD-95 puncta size. For (h, i), n = 38, 32, 34, 34, 33 and 32 dendrites from 14, 11, 12, 12, 11 and 11 neurons for control, KA, KA with Asp or Asp-plus, KA with Indo or Indo-plus treatment groups, respectively. For all images, neurons treated with indicated chemicals were fixed at 17 DIV and co-stained with PSD-95 (red) and MAP-2 (green). Scale bar: 40 µm (for neuron) and 10 µm (for dendrite). All data are shown as the mean ± SEM. P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    In summary, we have developed an efficient, metal-free O-glycosylation methodology for the synthesis of 2-deoxyglycosides from readily available glycals using acridinium salts under visible light irradiation. This protocol successfully accommodates both carboxylic acids and a wide range of alcohols, including complex and functionally diverse examples, as nucleophiles. Key features of this transformation include its operational simplicity, mild reaction conditions, broad substrate scope, excellent functional group tolerance, and notable α-stereoselectivity, particularly with carboxylic acid acceptors. The applicability to late-stage functionalization of bioactive molecules, amino acids, and peptides highlights its potential utility in drug discovery and glycoconjugate chemistry. Preliminary mechanistic investigations point towards a photo-initiated radical pathway, possibly involving a chain mechanism, offering a distinct reactivity profile compared to traditional glycosylation methods. Moreover, the biological evaluation of 2-deoxyglycosylated NSAIDs prepared using this method demonstrated significantly enhanced neurotrophic and neuroprotective effects in vitro, suggesting that such modifications can potentiate therapeutic activity. This study establishes photo-induced glycosylation as a valuable addition to the synthetic toolkit for accessing challenging 2-deoxyglycan structures and provides a foundation for further exploration of photoredox reactions in carbohydrate chemistry and its application in developing novel therapeutics. Future work will focus on deeper mechanistic elucidation and expanding the application scope, including in vivo validation of the observed biological effects.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    Xianrong Zeng: Writing – review & editing, Writing – original draft, Project administration, Methodology, Investigation, Formal analysis, Data curation. Hui-Ying Shi: Writing – original draft, Project administration, Methodology, Formal analysis, Data curation. Huiqian Huang: Writing – review & editing, Writing – original draft, Supervision, Project administration, Investigation, Formal analysis, Data curation, Conceptualization. Zhaobin Wang: Writing – review & editing, Writing – original draft, Supervision, Project administration, Investigation, Conceptualization.

    We are grateful for financial support from the National Natural Science Foundation of China (No. 22171231), Zhejiang Provincial Key Laboratory Construction Project, Zhejiang Provincial Natural Science Foundation of China (No. XHD23B0101), and National Natural Science Foundation of China (No. 82471531). We thank Westlake University Instrumentation and Service Center for Molecular Science and Physical Sciences for the assistance in measurement and data interpretation. We thank the Core Facilities of the Zhejiang University Institute of Neuroscience for technical assistance.

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2025.111615.


    1. [1]

      G.W. Yip, M. Smollich, M. Gotte, Mol. Cancer Ther. 5 (2006) 2139–2148. doi: 10.1158/1535-7163.MCT-06-0082

    2. [2]

      I. Popa, A. Pons, C. Mariller, et al., Glycobiology 17 (2007) 367–373. doi: 10.1093/glycob/cwm006

    3. [3]

      K.S. Lau, J.W. Dennis, Glycobiology 18 (2008) 750–760. doi: 10.1093/glycob/cwn071

    4. [4]

      S.M. Muthana, C.T. Campbell, J.C. Gildersleeve, ACS Chem. Biol. 7 (2012) 31–43. doi: 10.1021/cb2004466

    5. [5]

      M. Suflita, L. Fu, W. He, M. Koffas, R.J. Linhardt, Appl. Microbiol. Biotechnol. 99 (2015) 7465–7479. doi: 10.1007/s00253-015-6821-9

    6. [6]

      J. Munkley, I.G. Mills, D.J. Elliott, Nat. Rev. Urol. 13 (2016) 324–333. doi: 10.1038/nrurol.2016.65

    7. [7]

      M.M. Wei, Y.S. Wang, X.S. Ye, Med. Res. Rev. 38 (2018) 1003–1026. doi: 10.1002/med.21493

    8. [8]

      P.H. Seeberger, D.B. Werz, Nature 446 (2007) 1046–1051. doi: 10.1038/nature05819

    9. [9]

      C. Reily, T.J. Stewart, M.B. Renfrow, J. Novak, Nat. Rev. Nephrol. 15 (2019) 346–366. doi: 10.1038/s41581-019-0129-4

    10. [10]

      Y.S. Wijayasinghe, M.P. Bhansali, M.R. Borkar, et al., J. Med. Chem. 65 (2022) 3706–3728. doi: 10.1021/acs.jmedchem.1c01737

    11. [11]

      I. Prassas, E.P. Diamandis, Nat. Rev. Drug Discov. 7 (2008) 926–935. doi: 10.1038/nrd2682

    12. [12]

      J.-T. Zheng, U. Rix, L. Zhao, et al., J. Antibiot. 58 (2005) 405–408. doi: 10.1038/ja.2005.51

    13. [13]

      R.T. Crow, B. Rosenbaum, R. Smith, et al., Bioorg. Med. Chem. Lett. 9 (1999) 1663–1666. doi: 10.1016/S0960-894X(99)00261-9

    14. [14]

      C.S. Bennett, M.C. Galan, Chem. Rev. 118 (2018) 7931–7985. doi: 10.1021/acs.chemrev.7b00731

    15. [15]

      Y. Yang, B. Yu, Chem. Rev. 117 (2017) 12281–12356. doi: 10.1021/acs.chemrev.7b00234

    16. [16]

      P. Peng, R.R. Schmidt, Acc. Chem. Res. 50 (2017) 1171–1183. doi: 10.1021/acs.accounts.6b00518

    17. [17]

      M.J. McKay, H.M. Nguyen, ACS Catal. 2 (2012) 1563–1595. doi: 10.1021/cs3002513

    18. [18]

      C.J. Crawford, P.H. Seeberger, Chem. Soc. Rev. 52 (2023) 7773–7801. doi: 10.1039/d3cs00321c

    19. [19]

      K. Yamatsugu, M. Kanai, Chem. Rev. 123 (2023) 6793–6838. doi: 10.1021/acs.chemrev.2c00892

    20. [20]

      J. Zeng, Y. Xu, H. Wang, L. Meng, Q. Wan, Sci. China Chem. 60 (2017) 1162–1179. doi: 10.1007/s11426-016-9010-9

    21. [21]

      C.K. Prier, D.A. Rankic, D.W.C. MacMillan, Chem. Rev. 113 (2013) 5322–5363. doi: 10.1021/cr300503r

    22. [22]

      N.A. Romero, D.A. Nicewicz, Chem. Rev. 116 (2016) 10075–10166. doi: 10.1021/acs.chemrev.6b00057

    23. [23]

      L. Marzo, S.K. Pagire, O. Reiser, B. König, Angew. Chem. Int. Ed. 57 (2018) 10034–10072. doi: 10.1002/anie.201709766

    24. [24]

      G.E.M. Crisenza, P. Melchiorre, Nat. Commun. 11 (2020) 803–806. doi: 10.1038/s41467-019-13887-8

    25. [25]

      W.F. Zhu, C. Empel, S. Pelliccia, et al., J. Med. Chem. 67 (2024) 4322–4345. doi: 10.1021/acs.jmedchem.3c02109

    26. [26]

      C.E. Suh, H.M. Carder, A.E. Wendlandt, ACS Chem. Biol. 16 (2021) 1814–1828. doi: 10.1021/acschembio.1c00190

    27. [27]

      W. Shang, D. Niu, Acc. Chem. Res. 56 (2023) 2473–2488. doi: 10.1021/acs.accounts.3c00374

    28. [28]

      C. Zhang, H. Zuo, G.Y. Lee, et al., Nat. Chem. 14 (2022) 686–694. doi: 10.1038/s41557-022-00918-z

    29. [29]

      L.F. Deng, Y. Wang, S. Xu, et al., Science 382 (2023) 928–935. doi: 10.1126/science.adk1111

    30. [30]

      H. Zuo, C. Zhang, Y. Zhang, D. Niu, Angew. Chem. Int. Ed. 62 (2023) e202309887. doi: 10.1002/anie.202309887

    31. [31]

      G. Zhao, W. Yao, I. Kevlishvili, et al., J. Am. Chem. Soc. 143 (2021) 8590–8596. doi: 10.1021/jacs.1c03563

    32. [32]

      G. Zhao, W. Yao, J.N. Mauro, M.Y. Ngai, J. Am. Chem. Soc. 143 (2021) 1728–1734. doi: 10.1021/jacs.0c11209

    33. [33]

      W. Yao, G. Zhao, Y. Wu, et al., J. Am. Chem. Soc. 144 (2022) 3353–3359. doi: 10.1021/jacs.1c13299

    34. [34]

      G. Zhao, U. Mukherjee, L. Zhou, et al., CCS Chem. 5 (2023) 106–116. doi: 10.31635/ccschem.022.202202282

    35. [35]

      F. Wu, L. Wang, Y. Ji, J. Chen, Y. Huang, et al., iScience 23 (2020) 101395. doi: 10.1016/j.isci.2020.101395

    36. [36]

      D.S. Hamilton, D.A. Nicewicz, J. Am. Chem. Soc. 134 (2012) 18577–18580. doi: 10.1021/ja309635w

    37. [37]

      N.A. Romero, D.A. Nicewicz, J. Am. Chem. Soc. 136 (2014) 17024–17035. doi: 10.1021/ja506228u

    38. [38]

      D.J. Wilger, J.M.M. Grandjean, T.R. Lammert, D.A. Nicewicz, Nat. Chem. 6 (2014) 720–726. doi: 10.1038/nchem.2000

    39. [39]

      G. Zhao, T. Wang, Angew. Chem. Int. Ed. 57 (2018) 6120–6124. doi: 10.1002/anie.201800909

    40. [40]

      K.M. Liu, P.Y. Wang, Z.Y. Guo, et al., Angew. Chem. Int. Ed. 61 (2022) e202114726. doi: 10.1002/anie.202114726

    41. [41]

      D. Crich, F. Cai, Org. Lett. 9 (2007) 1613–1615. doi: 10.1021/ol070449y

    42. [42]

      Y. Yang, Y. Li, B. Yu, Tetrahedron Lett. 51 (2010) 1504–1507. doi: 10.1016/j.tetlet.2010.01.039

    43. [43]

      H.Y. Wang, C.J. Simmons, Y. Zhang, et al., Org. Lett. 19 (2017) 508–511. doi: 10.1021/acs.orglett.6b03683

    44. [44]

      T. Yang, F. Zhu, M.A. Walczak, Nat. Commun. 9 (2018) 3650–3658. doi: 10.1038/s41467-018-06016-4

    45. [45]

      Z. Liu, D. Liu, D. Zhu, B. Yu, Org. Lett. 25 (2023) 5372–5377. doi: 10.1021/acs.orglett.3c01750

    46. [46]

      S. Fukuzumi, H. Kotani, K. Ohkubo, et al., J. Am. Chem. Soc. 126 (2004) 1600–1601. doi: 10.1021/ja038656q

    47. [47]

      S. Das, D. Pekel, J.-M. Neudörfl, A. Berkessel, Angew. Chem. Int. Ed. 54 (2015) 12479–12483. doi: 10.1002/anie.201503156

    48. [48]

      E. Auriel, K. Regev, A.D. Korczyn, Handb. Clin. Neurol. 119 (2014) 577–584.

    49. [49]

      E.G. Hain, M. Sparenberg, J. Rasińska, et al., J. Neuroinflammation 15 (2018) 162. doi: 10.1186/s12974-018-1179-4

    50. [50]

      D.A. Sholl, J. Anat. 87 (1953) 387–406.

    51. [51]

      W. Sun, M. Wang, J. Zhao, et al., Nat. Commun. 14 (2023) 5351–5367. doi: 10.1038/s41467-023-41114-y

    52. [52]

      A.A. Galakhova, S. Hunt, R. Wilbers, et al., Trends Cogn. Sci. 26 (2022) 909–922.

    53. [53]

      V.A. Kulkarni, B.L. Firestein, Mol. Cell. Neurosci. 50 (2012) 10–20. doi: 10.1016/j.mcn.2012.03.005

    54. [54]

      M.P. Forrest, E. Parnell, P. Penzes, Nat. Rev. Neurosci. 19 (2018) 215–234. doi: 10.1038/nrn.2018.16

    55. [55]

      A.E. El-Husseini, E. Schnell, D.M. Chetkovich, R.A. Nicoll, D.S. Bredt, Science 290 (2000) 1364–1368. doi: 10.1126/science.290.5495.1364

    56. [56]

      I. Ehrlich, M. Klein, S. Rumpel, R. Malinow, Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 4176–4181. doi: 10.1073/pnas.0609307104

    57. [57]

      G.M. Kasof, A. Mandelzys, S.D. Maika, et al., J. Neurosci. 15 (1995) 4238–4249. doi: 10.1523/jneurosci.15-06-04238.1995

    58. [58]

      J. Garthwaite, G. Garthwaite, Nature 305 (1983) 138–140. doi: 10.1038/305138a0

    59. [59]

      J. Talbot, S. Chear, A. Phipps, et al., Methods Mol. Biol. 2549 (2022) 187–207.

    60. [60]

      Q. Wang, S. Yu, A. Simonyi, G.Y. Sun, A.Y. Sun, Mol. Neurobiol. 31 (2005) 3–16. doi: 10.1385/MN:31:1-3:003

  • Figure 1  The importance of 2-deoxyglycosides and their photo-induced synthesis via glycals.

    Figure 2  The scope of glycals and carboxylic acids.

    Figure 3  The scope of 2-deoxyglycosylation for natural products and bioactive compounds.

    Figure 4  The scope of alcohols for the stereoselective O-glycosylation of glycals.

    Figure 5  Mechanistic investigations.

    Scheme 1  Synthesis of 2-deoxyglycosylated aspirin and indomethacin.

    Figure 6  Sugar-modified aspirin or indomethacin favors neuronal growth and promotes dendrite development. (a) Representative images of primary cultured hippocampal neurons treated with compounds as indicated. Scale bar: 100 µm. (b) Quantification of the percentage of developing neurons. n = 15, 12, 12, 13, 13, 14, 13 regions for control, aspirin (Asp) and 2-deoxyglycosylated aspirin (Asp-plus) at 25, 100 and 500 µmol/L, respectively. (c) Representative images of single hippocampal neuron treated with compounds as indicate (left), and images processed by Sholl analysis (right). Scale bar: 40 µm. (d) The dendritic complexity of hippocampal neurons analyzed by Sholl analysis. (e) Quantification of maximum intersection numbers in (d). (f) Quantification of the area under curve (AUC) shown in (d). For (d-f), n = 15, 12 and 13 neurons for control, Asp and Asp-plus groups. (g) Representative images of primary cultured hippocampal neurons treated with compounds as indicated. Scale bar: 100 µm. (h) Quantification of the percentage of developing neurons. n = 18, 12, 13 regions for Control, Indomethacin (Indo) and 2-deoxyglycosylated Indo (Indo-plus) conditions, respectively. (i) Representative images of single hippocampal neuron treated with compounds as indicated. Scale bar: 40 µm. (j) The dendritic complexity of hippocampal neurons analyzed by Sholl analysis. (k) Quantification of maximum intersection numbers in (j). (l) Quantification of the AUC shown in (j). For (j-l), n = 15, 12 and 13 neurons for control, Indo and Indo-plus groups, respectively. For all images, neurons at 11 DIV were co-stained with MAP-2 (green) and DAPI (blue). All data are shown as the mean ± SEM. P < 0.05, **P < 0.01.

    Figure 7  Sugar-modified aspirin or indomethacin promotes synapse maturation and protects neuron from KA-induced neurotoxicity. (a) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (b) Quantification of PSD-95 puncta density. (c) Quantification of PSD-95 puncta size. For (b, c), n = 35 and 36 dendrites from 12 neurons each for Asp and Asp-plus groups. (d) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (e) Quantification of PSD-95 puncta density. (f) Quantification of PSD-95 puncta size. For (e, f), n = 35 and 39 dendrites from 12 and 13 neurons for Indo and Indo-plus groups, respectively. (g) Representative images of primary cultured hippocampal neurons (upper) and cropped dendrites (lower). (h) Quantification of PSD-95 puncta density. (i) Quantification of PSD-95 puncta size. For (h, i), n = 38, 32, 34, 34, 33 and 32 dendrites from 14, 11, 12, 12, 11 and 11 neurons for control, KA, KA with Asp or Asp-plus, KA with Indo or Indo-plus treatment groups, respectively. For all images, neurons treated with indicated chemicals were fixed at 17 DIV and co-stained with PSD-95 (red) and MAP-2 (green). Scale bar: 40 µm (for neuron) and 10 µm (for dendrite). All data are shown as the mean ± SEM. P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    Table 1.  Effect of reaction parameters for the 2-deoxyglycosylation of benzoic acid.

    Entry Variations from “standard conditions Yield (%)a α/βa
    1 No change 75 19:1
    2 Without PC1 < 2
    3 Without light < 2
    4 2 mol% PC1, instead of 5 mol% 73 12:1
    5 PC2, instead of PC1 54 5:1
    6 PC3, instead of PC1 22 4:1
    7 PC4 or PC5, instead of PC1
    8 1.2 equiv. 2a, instead of 1.5 equiv. 65 11:1
    9 1.5 equiv. 1a and 1.0 equiv. 2a 73 > 20:1
    10 DCM, instead of CHCl3 58 > 20:1
    11 DCE, instead of CHCl3 60 > 20:1
    12 THF, or DMF, instead of CHCl3 < 2
    13 24 h, instead of 36 h 70 9:1
    14 25 ℃, instead of 35 ℃ 61 19:1
    15 1.0 mL air was added 48 13:1
    16 1.0 equiv. water was added < 2
    a The yields and ratios were determined via 1H NMR analysis with dibromomethane as the internal standard.
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  • 发布日期:  2026-05-15
  • 收稿日期:  2025-04-16
  • 接受日期:  2025-07-19
  • 修回日期:  2025-06-27
  • 网络出版日期:  2025-07-21
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