Cited by 47Nanoplatforms for cancer theranosticsLuminescence and Fluorescent MaterialsPhotodynamic Therapy Research Studies

Finely tunable NIR‐II organic scaffolds for fluorescence/photoacoustic duplex imaging–guided noninvasive photothermal therapy of glioblastoma

Open access
Song, Yufei, Tong, Xingyu, Han, Yujie, Zhang, Qi‐Wei·2025·Aggregate

Abstract

Organic agents possessing NIR‐II and photoacoustic duplex imaging capabilities, coupled with high‐efficiency photothermal conversion, offer significant potential for noninvasive and precise phototheranostics of glioblastoma, which is further augmented when these agents can concurrently exhibit tumor targeting and blood–brain barrier (BBB) permeability. This study reports a series of finely tunable NIR‐II molecular luminophores based on the aza‐BODIPY scaffold, featuring unique twisted and rotatable structures. They are further constructed to folate‐decorated polymeric nanoparticles, exhibiting remarkable NIR‐II/photoacoustic imaging performance and superior photothermal conversion efficiency (49.7%). Folate modification enables tumor targeting and BBB permeability through receptor‐mediated transcytosis, allowing for precise and efficient phototherapy in 4T1‐/glioblastoma‐bearing mice after a single intravenous injection and irradiation. This study presents a rational molecular engineering approach and a versatile structural scaffold for designing NIR‐II emitters with tailored photophysical properties and desirable phototherapeutic efficacy, thereby offering novel perspectives on the development of advanced depth imaging probes and brain tumor therapeutics.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/agt2.680

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Zhang et al. designed a BODIPY-based agent by adopting a donor-acceptor-acceptor motif, where strong electron-withdrawing groups were introduced at the 3,5-positions.

    “Zhang et al. designed a BODIPY-based agent by adopting a D-A-A’ motif, where strong electron-withdrawing groups were introduced at the 3,5-positions (Fig. 8b)164.”
  • The optimized BODIPY compound 5 displayed a distorted conformation, with NIR-II fluorescence maxima at 1000 nm in organic solvents and further shifted to 1050 nm in aqueous nanoparticles.

    “The optimized compound 5 displayed a distorted conformation, with NIR-II fluorescence maxima at 1000 nm in organic solvents and further shifted to 1050 nm in aqueous nanoparticles.”
  • The push-pull modification of the BODIPY-based agent more effectively red-shifted absorption and emission than conventional donor-acceptor-donor systems.

    “This push-pull modification more effectively red-shifted absorption and emission than conventional D-A-D’ systems.”
  • Zhang et al. reported a novel NIR-II chromophore (aza-BODIPY 5) for non-invasive PTT guided by NIR-II fluorescence/PA dual-modality imaging.

    “Zhang et al. reported a novel NIR-II chromophore (aza-BODIPY 5) for non-invasive PTT guided by NIR-II fluorescence/PA dual-modality imaging (Fig. 21a)164.”
  • Upon 880 nm laser irradiation, 5@FAP-NP facilitated a rapid temperature increase at the tumor site to 49.7 °C within 5 min, enabling effective tumor ablation.

    “Upon 880 nm laser irradiation, 5@FAP-NP facilitated a rapid temperature increase at the tumor site to 49.7 °C within 5 min, enabling effective tumor ablation.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 43

  1. N. Vasan, J. Baselga, D. M. Hyman, Nature 2019, 575, 299.
  2. K. R. Taylor, T. Barron, A. Hui, A. Spitzer, B. Yalçin, A. E. Ivec, A. C. Geraghty, G. G. Hartmann, M. Arzt, S. M. Gillespie, Y. S. Kim, S. Maleki Jahan, H. Zhang, K. Shamardani, M. Su, L. Ni, P. P. Du, P. J. Woo, A. Silva-Torres, H. S. Venkatesh, R. Mancusi, A. Ponnuswami, S. Mulinyawe, M. B. Keough, I. Chau, R. Aziz-Bose, I. Tirosh, M. L. Suvà, M. Monje, Nature 2023, 623, 366.
  3. S. Liang, D. Hu, G. Li, D. Gao, F. Li, H. Zheng, M. Pan, Z. Sheng, Sci. Bull. 2022, 67, 2316.
  4. A. Galstyan, J. L. Markman, E. S. Shatalova, A. Chiechi, A. J. Korman, R. Patil, D. Klymyshyn, W. G. Tourtellotte, L. L. Israel, O. Braubach, V. A. Ljubimov, L. A. Mashouf, A. Ramesh, Z. B. Grodzinski, M. L. Penichet, K. L. Black, E. Holler, T. Sun, H. Ding, A. V. Ljubimov, J. Y. Ljubimova, Nat. Commun. 2019, 10, 3850.
  5. H. Li, S. Zhou, M. Wu, R. Qu, X. Wang, W. Chen, Y. Jiang, X. Jiang, X. Zhen, Adv. Mater. 2023, 35, 2210920.
  6. R. Chang, Q. Zou, L. Zhao, Y. Liu, R. Xing, X. Yan, Adv. Mater. 2022, 34, 2200139.
  7. R. Sun, Y. Zhang, Y. Gao, M. Zhao, A. Wang, J. Zhu, X. Cheng, H. Shi, Chem. Sci. 2023, 14, 2369.
  8. X. Zhou, C. Shi, S. Long, Q. Yao, H. Ma, K. Chen, J. Du, W. Sun, J. Fan, B. Liu, L. Wang, X. Chen, L. Sui, K. Yuan, X. Peng, ACS Cent. Sci. 2023, 9, 1679.
  9. G.-Q. Jin, C. V. Chau, J. F. Arambula, S. Gao, J. L. Sessler, J.-L. Zhang, Chem. Soc. Rev. 2022, 51, 6177.
  10. P. Cen, J. Huang, C. Jin, J. Wang, Y. Wei, H. Zhang, M. Tian, Aggregate 2023, 4, e352.
  11. C. Zhai, C. L. Schreiber, S. Padilla-Coley, A. G. Oliver, B. D. Smith, Angew. Chem. Int. Ed. 2020, 59, 23740.
  12. H. Yan, Y. Wang, F. Huo, C. Yin, J. Am. Chem. Soc. 2023, 145, 3229.
  13. Y. Han, L. Mao, Q. W. Zhang, Y. Tian, J. Am. Chem. Soc. 2023, 145, 23832.
  14. Y. Hang, J. Boryczka, N. Wu, Chem. Soc. Rev. 2022, 51, 329.
  15. A. Dong, K. He, B. Dudok, J. S. Farrell, W. Guan, D. J. Liput, H. L. Puhl, R. Cai, H. Wang, J. Duan, E. Albarran, J. Ding, D. M. Lovinger, B. Li, I. Soltesz, Y. Li, Nat. Biotechnol. 2022, 40, 787.
  16. Z. Huang, X. Ma, Cell Rep. Phys. Sci. 2020, 1, 100167.
  17. L. Wu, J. Liu, P. Li, B. Tang, T. D. James, Chem. Soc. Rev. 2021, 50, 702.
  18. G. Xu, Q. Yan, X. Lv, Y. Zhu, K. Xin, B. Shi, R. Wang, J. Chen, W. Gao, P. Shi, C. Fan, C. Zhao, H. Tian, Angew. Chem. Int. Ed. 2018, 57, 3626.
  19. S. Zhu, R. Tian, A. L. Antaris, X. Chen, H. Dai, Adv. Mater. 2019, 31, 1900321.
  20. S. Wang, H. Shi, L. Wang, A. Loredo, S. M. Bachilo, W. Wu, Z. Tian, Y. Chen, R. B. Weisman, X. Zhang, Z. Cheng, H. Xiao, J. Am. Chem. Soc. 2022, 144, 23668.
  21. Z. Chen, L. Su, Y. Wu, J. Liu, R. Wu, Q. Li, C. Wang, L. Liu, J. Song, Proc. Natl. Acad. Sci. U. S. A. 2023, 120, e2205186120.
  22. H. Dai, Q. Shen, J. Shao, W. Wang, F. Gao, X. Dong, Innovation 2021, 2, 100082.
  23. J. Li, Y. Liu, Y. Xu, L. Li, Y. Sun, W. Huang, Coord. Chem. Rev. 2020, 415, 213318.
  24. L. Zhao, H. Zhu, Y.-Y. Duo, D.-W. Pang, Z.-G. Wang, S.-L. Liu, Adv. Healthc. Mater. 2023, 12, 2301584.
  25. J. Chen, L. Chen, Z. She, F. Zeng, S. Wu, Aggregate 2024, 5, e419.
  26. J. Chen, A. C. Sedgwick, S. Sen, Y. Ren, Q. Sun, C. Chau, J. F. Arambula, T. Sarma, L. Song, J. L. Sessler, C. Liu, Chem. Sci. 2021, 12, 9916.
  27. J. Du, S. Yang, Y. Qiao, H. Lu, H. Dong, Biosens. Bioelectron. 2021, 191, 113478.
  28. B. Liu, F. Jiang, J. Sun, F. Wang, K. Liu, J. Mater. Chem. B 2021, 9, 7007.
  29. A. Van de Walle, A. Figuerola, A. Espinosa, A. Abou-Hassan, M. Estrader, C. Wilhelm, Mater. Horiz. 2023, 10, 4757.
  30. W. Ma, R. Sun, L. Tang, Z. Li, L. Lin, Z. Mai, G. Chen, Z. Yu, Adv. Mater. 2023, 35, 2303149.
  31. K. Li, S. Xu, M. Xiong, S.-Y. Huan, L. Yuan, X.-B. Zhang, Chem. Soc. Rev. 2021, 50, 11766.
  32. C. Li, C. Liu, Y. Fan, X. Ma, Y. Zhan, X. Lu, Y. Sun, RSC Chem. Bio. 2021, 2, 743.
  33. Z. Zhang, W. Xu, M. Kang, H. Wen, H. Guo, P. Zhang, L. Xi, K. Li, L. Wang, D. Wang, B. Z. Tang, Adv. Mater. 2020, 32, 2003210.
  34. J.-C. Yang, L. Wu, L. Wang, R. Ren, P. Chen, C. Qi, H.-T. Feng, B. Z. Tang, Aggregate 2024, 5, e535.
  35. Z. Chen, W. Li, M. A. Sabuj, Y. Li, W. Zhu, M. Zeng, C. S. Sarap, M. M. Huda, X. Qiao, X. Peng, D. Ma, Y. Ma, N. Rai, F. Huang, Nat. Commun. 2021, 12, 5889.
  36. S. Grimme, S. Ehrlich, L. Goerigk, J. Comput. Chem. 2011, 32, 1456.
  37. S. H. Vosko, L. Wilk, M. Nusair, Can. J. Phys. 1980, 58, 1200.
  38. A. D. Becke, J. Chem. Phys. 1993, 98, 5648.
  39. D. Wu, Q. Chen, X. Chen, F. Han, Z. Chen, Y. Wang, Signal Transduct. Target. Ther. 2023, 8, 217.
  40. G. C. Terstappen, A. H. Meyer, R. D. Bell, W. Zhang, Nat. Rev. Drug Discov. 2021, 20, 362.
  41. E. McCord, S. Pawar, T. Koneru, K. Tatiparti, S. Sau, A. K. Iyer, ACS Omega 2021, 6, 4111.
  42. Y. Wang, Y. Su, Y. Yang, H. Jin, M. Wu, Q. Wang, P. Sun, J. Zhang, X. Yang, X. Shu, Drug Deliv. 2022, 29, 3071.
  43. P. Ebrahimnejad, A. Sodagar Taleghani, K. Asare-Addo, A. Nokhodchi, Drug Discov. Today 2022, 27, 471.

Cited by

Sorted by citations

Authors
Song, Y., Tong, X., Han, Y., & Zhang, Q.
Affiliations
East China Normal University (CN)
Corresponding author
Zhang, Qi‐Wei
Venue
Aggregate
Publisher
Wiley
Published
2024-10-11
Volume
6
Issue
2
ISSN
2692-4560 (ISSN-L)
OpenAlex
W4403341450
Cited by
47
References
48
Citations by year
2026: 23 · 2025: 24
FWCI
5.14
Type
journal article
Language
en
Open access
Locations
Aggregate (publishedVersion, cc-by)
Funders
  • National Natural Science Foundation of China (22322405, 22274055, 21904040)
  • Fundamental Research Funds for the Central Universities
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
  • Physical Sciences › Materials Science › Materials Chemistry › Luminescence and Fluorescent Materials
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Photodynamic Therapy Research Studies
Keywords
NIR-II fluorescence imaging, photoacoustic imaging, photothermal therapy, glioblastoma, aza-BODIPY, organic luminophores, folate-targeted nanoparticles, blood-brain barrier permeability, phototheranostics, molecular engineering, tumor targeting, 4T1 breast cancer

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review