Redox Oxygen Species‐Responsive Nanotheranostics with Dual‐Channel Fluorescent Turn‐On for Early Diagnosis and Targeted Therapy of Alzheimer's Disease
Abstract
Current diagnosis and treatment strategies mainly focus on the pathologies of the mid‐to‐late stage of AD (Alzheimer's disease), with clinical outcomes that are far from ideal. Herein, we developed the ROS (reactive oxygen species)‐responsive brain neuronal targeting nanotheranostic platforms that possess the dual‐channel fluorescent “turn‐on” properties and release drugs in AD neurons in response to ROS, thereby simultaneously facilitating the diagnosis and therapy of early AD. Through the modification of acetylcholine receptor targeting RVG29 peptide, the nanotheranostics penetrated BBB and accumulated into diseased neurons in an intact form, consequently maximizing the diagnostic and therapeutic performance. The anti‐oxidative drug baicalein conjugated onto the surface of nanotheranostics via ROS‐cleavable boronate ester linkage rapidly released for ROS scavenging, while the encapsulated fluorophores turned on their fluorescence for AD diagnosis upon microenvironment stimuli. This nanotheranostic strategy exhibited highly sensitivity with a ROS detection limit of up to 100 µ m and accurately early detection of ROS in 3×Tg AD mice at 6 months of age in vivo. In addition, it could also rescue memory defects, scavenge oxidative stress, attenuate neuroinflammation and enhance neuroprotective effect in 3×Tg AD mice. This work opens up a promising and smart strategy for early diagnosis and therapy in neurodegenerative disease.
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Targeting reactive oxygen species and oxidative stress is more effective during the early stages of Alzheimer's disease than in advanced stages.
“Scientific evidence clearly indicates that targeting ROS and oxidative stress is more effective during the early stages of AD than in advanced stages.”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [122]
Nanoparticles enable early detection and effective suppression of oxidative stress and cognitive deficits in transgenic mice at disease onset.
“NPs enable early detection and effective suppression of oxidative stress and cognitive deficits in transgenic mice at disease onset, supporting the therapeutic potential of this mechanism in early AD [122].”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [122]
Oxidative stress markers increase even in the preclinical phase and during mild cognitive impairment, while antioxidant therapies in animal models delay the disease course and improve cognitive functions.
“Oxidative stress markers increase even in the preclinical phase and during MCI, while antioxidant therapies in animal models have been shown to delay the disease course and improve cognitive functions [122, 123].”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [122]
Reactive oxygen species-targeting strategies exhibit the greatest efficacy in early Alzheimer's disease, before irreversible neuronal damage occurs.
“In summary, ROS-targeting strategies exhibit the greatest efficacy in early AD, before irreversible neuronal damage occurs [122, 123].”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [122]
Cites
The Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990 · see citing works
Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease
Butterfield, D. A., & Halliwell, B. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0132-6 · Cited by 1,954 · see citing works
Oxidative Stress, Synaptic Dysfunction, and Alzheimer’s Disease
Tönnies, E., & Trushina, E. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161088 · Cited by 1,750 · see citing works
Neuroinflammation: The Devil Is in the Details
DiSabato, D. J., Quan, N., & Godbout, J. P. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13607 · Cited by 1,640 · see citing works
Alzheimer’s disease: Clinical trials and drug development
Mangialasche, F., Solomon, A., Winblad, B., Mecocci, P., & Kivipelto, M. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70119-8 · Cited by 1,217 · see citing works
Simpson, D. S. A., & Oliver, P. L. (2020) · Antioxidants · doi:10.3390/antiox9080743 · Cited by 1,044 · see citing works
Alzheimer's Disease: Treatment Strategies and Their Limitations.
Passeri, E., Elkhoury, K., Morsink, M., Broersen, K., Linder, M., Tamayol, A., Malaplate, C., Yen, F. T., & Arab-Tehrany, E. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232213954 · Cited by 592 · see citing works
Buccellato, F. R., D’Anca, M., Fenoglio, C., Scarpini, E., & Galimberti, D. (2021) · Antioxidants · doi:10.3390/antiox10091353 · Cited by 179 · see citing works
Hu, B., Dai, F., Fan, Z., Ma, G., Tang, Q., & Zhang, X. (2015) · Advanced Materials · doi:10.1002/adma.201502227 · Cited by 155 · see citing works
Ruan, Y., Xiong, Y., Fang, W., Yu, Q., Mai, Y., Cao, Z., Wang, K., Lei, M., Xu, J., Liu, Y., et al. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01524-4 · Cited by 85 · see citing works
Guo, Q., Li, Y., Xu, S., Wang, P., Qian, K., Yang, P., Sheng, D., Wang, L., Cheng, Y., Meng, R., et al. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.01.074 · Cited by 40 · see citing works
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Kochman, U., Sitka, H., Kuźniar, J., Czaja, M., Kozubek, P., Beszłej, J. A., & Leszek, J. (2026) · Molecular Neurobiology · doi:10.1007/s12035-025-05417-z · Cited by 60 · see citing works
- Authors
- Guo, Q., Wang, T., Qian, C., & Wang, X.
- Affiliations
- Shanghai University (CN)
- Fudan University (CN)
- Chinese University of Hong Kong (HK)
- Corresponding author
- Guo, Qian
- Qian, Christopher
- Venue
- Small
- Publisher
- Wiley
- Published
- 2024-10-20
- Volume
- 20
- Issue
- 52
- Pages
- e2403980-e2403980
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W4403615009
- Cited by
- 15
- References
- 11
- Citations by year
- 2026: 8 · 2025: 7
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Small (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (NSFC82003702)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Keywords
- Alzheimer's disease, nanotheranostics, reactive oxygen species-responsive drug delivery, early diagnosis, baicalein, blood-brain barrier penetration, oxidative stress, neuroinflammation, neurodegenerative diseases
- MeSH terms
- Theranostic Nanomedicine, Alzheimer Disease, Animals, Humans, Mice, Transgenic, Oxidation-Reduction, Reactive Oxygen Species, Early Diagnosis, Mice, Nanoparticles
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