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【Biomaterials】大连理工彭孝军院士团队|一种通过杂环硫代化和D-A增强作用制备的、稳定性导向的无重原子尼罗红光敏剂,用于铁细胞焦亡光动力免疫疗法

【Biomaterials】大连理工彭孝军院士团队|一种通过杂环硫代化和D-A增强作用制备的、稳定性导向的无重原子尼罗红光敏剂,用于铁细胞焦亡光动力免疫疗法#

文章标题:A Stability-oriented heavy-atom-free Nile red photosensitizer via heterocyclic thionation and D-A intensification for ferro-pyroptosis photodynamic immunotherapy

通讯作者:Xiaolong Zeng, Wen Sun, Xiaojun Peng

文章链接https://doi.org/10.1016/j.biomaterials.2026.124332

文章概要#

大连理工大学彭孝军院士团队及其合作者针对传统光敏剂在光动力治疗中存在的稳定性差、暗毒性高等瓶颈问题,提出了一种基于杂环硫化供体-受体(D-A)强化的分子设计策略。通过这种无重原子设计,研究团队成功开发出了性能卓越的尼罗红衍生物光敏剂NRS-N-Me。该光敏剂不仅表现出极佳的稳定性,更能在近红外光激发下,协同诱导肿瘤细胞发生铁死亡焦死亡,从而极大地增强肿瘤免疫原性,实现高效的光动力免疫治疗,为下一代高性能光敏剂的开发提供了全新思路。

引言#

光动力治疗(PDT)凭借其微创性、高时空选择性和较低的副作用,已成为癌症治疗领域的研究热点。PDT的核心在于光敏剂,它们在受激后通过系间窜越生成活性氧(ROS)来杀伤癌细胞。然而,传统的尼罗红类衍生物往往面临系间窜越效率低下、光稳定性不足等挑战。为了提升效率,研究人员通常会引入卤素等重原子,但这往往会伴随暗毒性增加、三重态寿命缩短以及光降解加剧等负面效应。因此,如何在不使用重原子的前提下,设计出高稳定性且具备高效系间窜越能力的光敏剂,成为当前化学与生物医学界亟待解决的科学问题。此外,如何突破单一的凋亡死亡路径,通过诱导免疫原性更强的细胞死亡模式来激活机体自身免疫系统,也是提升临床疗效的关键所在。

Scheme 1. Design strategy of NRS-N-Me and its Ferro-Pyroptosis synergy mechanism.#

主要实验及结论#

研究团队首先从分子设计的源头入手,利用杂环硫化策略将尼罗红骨架中的氧原子替换为硫原子,并结合D-A强化手段来调节电子云分布。如图1所示,这一独特的结构设计使得NRS-N-Me展现出了极其微小的单重态-三重态能隙,同时显著增强了旋轨耦合常数。实验结果证实,该分子在无重原子的情况下,系间窜越效率得到了跨越式提升,在光照下能够产生高产率的单线态氧及其他活性氧物种。不仅如此,与传统光敏剂相比,NRS-N-Me表现出了卓越的光稳定性,在多次高强度循环光照后依然保持稳定的吸光性能,这为其在生物体内长时效发挥作用奠定了物质基础。

Fig. 1. Characterization of photophysical and photochemical properties of NRS-N-Me, NRS-N and NRS. a) Chemical structures of NRS-N-Me, NRS-N and NRS. b) Normalized absorption spectra of NRS-N-ME, NRS-N and NRS in dichloromethane. c) Normalized fluorescence emission spectra of NRS-N-ME, NRS-N and NRS in dichloromethane. d) The absorbance spectra of DPBF with NRS-N-Me following light irradiation (660 nm, 1 mW cm−2). e) The fluorescence emission spectra of DCFH with NRS-N-Me following light irradiation (660 nm, 10 mW cm−2). f) DPBF absorbance activation rates by NRS-N-Me, NRS-N and NRS under light irradiation (660 nm, 550 nm, 1 mW cm−2). g) DCFH (5 μM) fluorescence activation rates by NRS-N-Me (5 μM), NRS-N (5 μM) and NRS (5 μM) under light irradiation (660 nm, 10 mW cm−2). (h-j) Triplet excited-state lifetimes of NRS-N-Me, NRS-N and NRS in degassed DCM after different treatments.#

Fig. 2. The results of three molecular quantum chemical calculations. a) The optimized ground-state molecular structures of NRS-N-Me, NRS-N and NRS, as calculated by DFT (B3LYP/def2svp, in DCM), along with HOMO, LUMO, energy levels and energy differences. b) The Jablonski diagram of the excitation processes of NRS-N-Me, NRS-N and NRS-N (calculated by DFT, B3LYP/def2svp, with DCM as the solvent) is obtained.#

在细胞水平的实验中,研究者深入探讨了NRS-N-Me诱导细胞死亡的深层机制。如图2所示,通过特定的荧光探针监测发现,光照后的肿瘤细胞内出现了明显的脂质过氧化现象,这是铁死亡的典型标志。与此同时,透射电镜观察到细胞膜出现了大量气泡样突起,这一现象与焦死亡的特征完全吻合。进一步的分子生物学检测(如图3所示)显示,NRS-N-Me诱导了谷胱甘肽过氧化物酶4(GPX4)的下调以及焦死亡关键蛋白Gasdermin E(GSDME)的剪切。这意味着,该光敏剂并非简单地诱导细胞凋亡,而是通过触发铁死亡与焦死亡的“双管齐下”,最大程度地释放肿瘤细胞内的损伤相关分子模式(DAMPs)。

Fig. 3. Evaluation of NRS-N-Me-mediated PDT efficacy in cells. a-b) Confocal images demonstrate the intracellular ROS and •O2− levels in MCF-7 cells as detected by DCFH-DA and DHE probes. Scale bar: 30 μm. c) CLSM images of MCF-7 cells stained with Calcein-AM/PI after various treatments Scale bars: 150 μm. d) CLSM images of MMP damage in JC-1 stained MCF-7 cells after different treatments. Scale bar: 30 μm. e) Cell viability of 4T1, MCF-7 and mc38 cells treated with NRS-N-Me, NRS-N and NRS, with and without light irradiation (660 nm, 20 mW cm−2, 20 min, n = 6). f) Analysis of apoptosis and necrosis in 4T1 cells stained with Annexin V-FITC/PI after different treatments via flow cytometry.#

Fig. 4. Detection of multiple cell death pathways mediated by NRS-N-Me-mediated PDT in 4T1 cells. a) CLSM images of LPO in BDPY 581/591 C11 stained 4T1 cells after different treatments. Scale bar: 50 μm. b) CLSM images of Fe2+ stained 4T1 cells after different treatments. Scale bar: 30 μm. Immunofluorescence staining CLSM images of c) HMGB1 and d) CRT in 4T1 cells after coincubation with NRS-N-Me under light. Scale bar: 30 μm. e) The release of LDH from 4T1 cells after different treatments (n = 3). f) The release of ATP from 4T1 cells after different treatments (n = 3). g) The relative expression of NADH in 4T1 cells after different treatments (n = 3). The release of h) IL-1β and i) IL-18 from 4T1 cells after different treatments (n = 3). j) The relative expression of LPO in 4T1 cells after different treatments. k) The relative expression of FE2+ in 4T1 cells after different treatments. l) The WB analysis of FSP1, xCT, GPX4, Pro-caspase 1, N-GSDMD and GSDMD in 4T1 cells following various treatments (660 nm, 20 mW cm−2, 10 min). m) Schematic illustration of NRS-N-Me-mediated PDT targeting mitochondria, inducing pyroptosis, ferroptosis, and immunogenic cell death. Statistical significance was calculated using two-tailed Student’s t-test (∗p < 0.05, ∗∗p ≤ 0.01, or ∗∗∗p ≤ 0.001).#

为了验证该策略在复杂生物体内的实际应用价值,研究团队开展了荷瘤小鼠实验。如图4所示,在接种肿瘤后,仅通过静脉注射低剂量的NRS-N-Me并配合近红外光照射,肿瘤生长便受到了极大的抑制,肿瘤体积相较于对照组缩小了显著比例。更令人兴奋的是,在肿瘤组织切片中观察到了大量浸润的CD8+ T细胞。流式细胞术分析结果(如图5所示)进一步证实,治疗后的小鼠不仅原位肿瘤得到了清除,其体内的树突状细胞成熟度也显著提高。这一系列发现表明,NRS-N-Me驱动的光动力过程成功点燃了机体的抗肿瘤免疫反应,将“冷”肿瘤转化为了对免疫治疗敏感的“热”肿瘤。

Fig. 5. In vivo antitumor PDT evaluation. a) Schematic overview of the 4T1 syngeneic breast cancer model: tumor inoculation, growth monitoring, and therapeutic intervention protocol. b) Time-course in vivo fluorescence imaging of NRS-N-Me distribution in mice post-injection. c) Quantitative analysis of tumor-associated fluorescence signal intensity (mean ± SD, n = 3). d) Photographs of surgically resected breast tumor specimens following distinct therapeutic regimens. e) Tumor volume growth curves of mice after different therapeutic regimens over 14 days (n = 5). f) The weight of tumor after different therapeutic regimens over 14 days (n = 5). g) Relative expression of TUNEL after different therapeutic regiments. h) Immunofluorescence staining images of TUNEL and Ki67 staining from tumor tissues in different therapeutic regimens. Scale bars: 50 μm. i) Relative expression of Ki67 after different therapeutic regiments. Statistical significance was calculated using two-tailed Student’s t-test (∗p < 0.05, ∗∗p ≤ 0.01, or ∗∗∗p ≤ 0.001).#

Fig. 6. Evaluation of NRS-N-Me-mediated PDT performance in lung metastasis model in vivo a) Orthotopic breast cancer-lung metastasis model establishment & therapy regimen diagram. b) Tumor volume growth curves of mice after different therapeutic regimens over 14 days (n = 5). c) The weight changes of mice after different treatment regimens within 14 days (n = 5). d) H&E staining of tumor tissues from different therapeutic regiments. Scale bars: 50 μm. e) Typical images of excised lung tissues across various treatment groups. Yellow arrows denote metastatic foci. f–i) Quantification of HGF, MTA2, PECAM-1 and VCAM-1 expression levels in Immunofluorescence staining of tumor slices (n = 3). j) H&E staining of lung tissues after various therapeutic regiments. Scale bars: 2000 μm (Conventional graph) 100 μm (enlarged graph). Statistical significance was calculated using two-tailed Student’s t-test (∗p < 0.05, ∗∗p ≤ 0.01, or ∗∗∗p ≤ 0.001). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)#

Fig. 7. Evaluation of the in vivo immune effect of NRS-N-Me-mediated photodynamic therapy. Flow cytometry assay of a) matured DCs (CD11c+CD80+CD86+), c) helper T cells (CD45+CD3+CD4+), and e) cytotoxic T cells (CD45+CD3+CD8+) in the tumors after various therapeutic regiments. Quantitative analysis of b) matured DCs (CD11c+CD80+CD86+), d) helper T cells (CD45+CD3+CD4+), and f) cytotoxic T cells (CD45+CD3+CD8+) after various therapeutic regiments (n = 3). g) Immunofluorescence staining images of CRT and HHMGB1 staining from tumor tissues in different therapeutic regimens. Scale bars: 50 μm. Quantitative analysis of h) CRT and i) HMGB1 after various therapeutic regiments (n = 3). Statistical significance was calculated using two-tailed Student’s t-test (∗p < 0.05, ∗∗p ≤ 0.01, or ∗∗∗p ≤ 0.001).#

总结及展望#

该研究不仅在化学合成上实现了无重原子尼罗红光敏剂的稳定化与高效化,更在生物机制上揭示了铁死亡与焦死亡协同诱导对肿瘤免疫治疗的巨大推动作用。NRS-N-Me的问世,打破了传统重原子依赖型光敏剂的局限性,实现了高稳定性与高免疫原性的统一。未来,随着该分子结构的进一步优化以及临床前评价的深入,我们有望看到更多基于此类设计理念的药物进入转化阶段。这不仅为精准光动力治疗提供了有力的武器,也为探索多路径、多模式的协同抗癌疗法开辟了广阔的科学前景。我们期待在不久的将来,这种高效且安全的无重原子光敏剂能够真正惠及癌症患者。

【Biomaterials】大连理工彭孝军院士团队|一种通过杂环硫代化和D-A增强作用制备的、稳定性导向的无重原子尼罗红光敏剂,用于铁细胞焦亡光动力免疫疗法
https://fuwari.vercel.app/posts/elsevier/elsevier-biomaterials-00000039/
作者
Fluolab
发布于
2026-07-14
许可协议
CC BY-NC-SA 4.0