Evidence map›Paper›PMID 41084506›Full record

ArticleDrug design, development and therapy2025

Enhancing Quercetin's Potential: A Nanoliposome Delivery System for High Altitude Pulmonary Edema.

Lin Lin, Baoying Shen, Jialu Cui, Yehui Gao, Libin Wang, Tingyu Yang, Jiading Weng, Chengcai Lai, Xianglin Tang, Chengrong Xiao and 2 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Quercetin ReducesInternational journal of molecular sciences · 2026
    Article
  2. Review
  3. Review
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.

Lin LinInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.ORCID 0009-0002-6348-7998
Baoying ShenInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Jialu CuiInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Yehui GaoInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Libin WangSchool of Medicine, Shaanxi Energy Institute, Xianyang, Shaanxi, People's Republic of China.ORCID 0000-0002-1216-2352
Tingyu YangInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Jiading WengBeijing Institute of Radiation Medicine, Beijing, People's Republic of China.
Chengcai LaiBeijing Institute of Radiation Medicine, Beijing, People's Republic of China.
Xianglin TangBeijing Institute of Radiation Medicine, Beijing, People's Republic of China.
Chengrong XiaoBeijing Institute of Radiation Medicine, Beijing, People's Republic of China.
Xin ShenBeijing Institute of Radiation Medicine, Beijing, People's Republic of China.
Yue GaoInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.ORCID 0000-0003-1131-5326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to develop quercetin-loaded nanoliposomes (QUL) to improve the oral bioavailability of quercetin (QU). Furthermore, we comprehensively evaluated the potential of QU for preventing high-altitude pulmonary edema (HAPE) and explored its underlying molecular mechanisms. Methods: Quercetin nanoliposome was created using thin-film hydration method, which was analyzed for morphology, zeta potential, drug loading, encapsulation efficiency, and release in vitro. A simple, sensitive and accurate LC MS/MS method was developed and validated for the simultaneous quantification of QU and QUL in rat plasma using Carbamazepine as internal standard (IS). The efficacy of QU and QUL in preventing HAPE was demonstrated in vitro and in vivo. Various techniques such as Western blotting, and immunofluorescence were employed to elucidate the associated mechanism. Results: Transmission electron microscopy proved that the nanoparticles were evenly distributed. The mean particle size (DLS) was determined to be 157.08±1.215 nm, with a polydispersity index (PDI) of 0.204±0.012. After oral administration of QU and QUL, Tmax values were 2.677±1.033h and 1.167±0.408h, respectively. Additionally, the Cmax values were 0.37±0.049ug/mL and 0.585±0.032ug/mL, respectively, suggesting a faster absorption rate and greater absorption content for QUL. QU and QUL improved lung permeability, reduced mortality, and decreased lung water content in a mouse model. Moreover, they significantly inhibited hypoxia-induced hyperproliferation and migration of pulmonary arterial smooth muscle cells (PASMCs). Mechanistic studies indicated that these effects were mediated through the PI3K/AKT/VEGF and ROCK/HIF/TRPC signaling pathways. Conclusion: QU reduces lung water content by modulating the PI3K/AKT/VEGF and ROCK/HIF/TRPC signaling pathways, suggesting its potential for preventing and treating HAPE. Furthermore, quercetin-loaded lipid nanoparticles improve oral bioavailability, thereby enhancing the therapeutic efficacy of quercetin in HAPE management.

Indexed as

Altitude SicknessDrug Delivery SystemsHypertension, PulmonaryNanoparticlesPulmonary EdemaQuercetinAdministration, OralAnimalsBiological AvailabilityLiposomesMaleMiceParticle SizeRatsRats, Sprague-DawleyLiposomesQuercetinhigh altitude pulmonary edemananoliposomepharmacokineticpulmonary artery smooth muscle cellsquercetin

Identifiers

PMID41084506
PMCPMC12515440

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Registered trials

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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.