Evidence map›Paper›PMID 42116113›Full record

ArticleJournal of nanobiotechnology2026

A novel nasal mucosal peptide-modified co-delivery system for ginsenoside Rg1, Rb1, and notoginseng saponin R1 in the amelioration of AD.

Yinjia Li, Changhui Hu, Chenjie Xia, Xitong Wang, Xuting Zhou, Rui Xu, Yunshu Li, Feng Mo, Binhao Zhao, Liu Xu and 2 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yinjia Li *College of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Changhui Hu *College of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Chenjie Xia *College of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Xitong WangCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Xuting ZhouCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Rui XuCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Yunshu LiCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Feng MoCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Binhao ZhaoCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Liu XuCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. 18260092677@163.com.
Chenqi ZhuCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. zhu65134@163.com.
Zhipeng ChenCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. czpcpu2000@hotmail.com.

Funding

National Innovation and Entrepreneurship Training Program for Undergraduate 202510315035National Natural Science Foundation of China 82304729National Natural Science Foundation of China 82574587Natural Science Foundation of Jiangsu Province BK20230457Scientific Research Foundation of Nanjing University of Chinese Medicine ZYXYL2024-005
6 · The paper itself

Abstract

The drug delivery for Alzheimer's disease (AD) faces substantial obstacles owing to the presence of the blood-brain barrier (BBB). This circumstance highlights the nose-brain route as pivotal for enhancing drug distribution to the brain. As the efficiency of brain entry is constrained by the physiological barrier of the nasal cavity, the development of strategies to efficiently traverse this barrier is imperative for enhancing the effectiveness of AD treatment. In the present study, a cell-penetrating peptide (CPPs) named LK4, which originates from mastoparan-L (MPL), was employed. Its capacity to efficiently penetrate the physiological barrier of the nasal cavity was demonstrated. LK4 was modified into polydopamine (PDA) nanoparticles to construct nanoparticles containing ginsenoside Rg1, ginsenoside Rb1, and notoginseng saponin R1 (TGS), designated as LK4-TGS-PDA. Experiment results reveal that the LK4-TGS-PDA drug delivery system can enhance the uptake of olfactory neurons and promote epithelial transport. In an in vitro nasal mucosal barrier model, LK4 modification increased the apparent permeability coefficients of R1, Rg1, and Rb1 by 1.2-, 1.2-, and 12-fold, respectively, compared to unmodified nanoparticles. Following nasal administration, the brain concentrations of R1, Rg1, and Rb1 increased by 19-fold, 30-fold, and 15-fold, respectively, and the relative brain bioavailability reached 933.1%, 1375.0%, and 1144.4%, respectively. In the model of AD induced by amyloid-beta 1-42 (Aβ1-42), it was confirmed that LK4-TGS-PDA NPs can significantly improve cognitive dysfunction, with escape latency reduced by 30.3%, platform crossings increased by 5.4-fold, and target quadrant time extended by 2.4-fold, as well as reduce the effects of inflammation in the brain, with IL-1β, IL-6, and TNF-α decreased by 44.05%, 53.49%, and 84.40%, respectively. The present investigation outcomes reveal that the engineered LK4-TGS-PDA NPs demonstrates effectiveness and efficiency as a drug delivery approach for the nose-brain pathway, offering valuable insights and prospects for enhancing AD treatment.

Indexed as

Alzheimer DiseaseCell-Penetrating PeptidesDrug Delivery SystemsGinsenosidesNasal MucosaAdministration, IntranasalAmyloid beta-PeptidesAnimalsBlood-Brain BarrierBrainIndolesMaleNanoparticlesPolymersAmyloid beta-PeptidesCell-Penetrating Peptidesginsenoside Rb1ginsenoside Rg1GinsenosidesIndolespolydopaminePolymersAlzheimer’s diseaseCell-penetrating peptidesGinsenosideNose-to-brain drug deliveryPolydopamine

Identifiers

PMID42116113
PMCPMC13348144

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.