Evidence map›Paper›PMID 38528554›Full record

ArticleJournal of nanobiotechnology2024

Synergistic dual cell therapy for atherosclerosis regression: ROS-responsive Bio-liposomes co-loaded with Geniposide and Emodin.

Zhenxian Li, Haimei Zhu, Hao Liu, Dayue Liu, Jianhe Liu, Yi Zhang, Zhang Qin, Yijia Xu, Yuan Peng, Lihua Ruan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  6. Review
  7. Article
  8. Review
  9. Polymeric Nanomaterials for Atherosclerosis Diagnosis and Treatment.Polymer science & technology (Washington, D.C.) · 2025
    Review
  10. 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

14 authors at 4 institutions in 1 country.

Zhenxian Li *Department of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Haimei Zhu *Department of Pain, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Hao LiuDepartment of Rehabilitation, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Dayue LiuNHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, 750004, China.
Jianhe LiuDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Yi ZhangDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Zhang QinDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Yijia XuDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Yuan PengDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Lihua RuanDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Jintao LiDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Yao HeDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China.
Bin LiuCollege of Biology, Hunan University, Changsha, 410082, China. binliu2001@hotmail.com.
Yun LongDepartment of Cardiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, China. wwlyf@126.com.
First Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNHunan University · CNNingxia Medical University · CNSecond Xiangya Hospital of Central South University · CN

Funding

Chinese Medicine Research Project of Hunan Province A2023051Health Commission of Hunan Province 202203014389Key Research and Development Projects in Ningxia Province 2022BFH02013Research Foundation of Hunan University of Chinese Medicine 2021ZYX21Research Project of Science and Technology Planning Project of Changsha kq2202459
6 · The paper itself

Abstract

The development of nanomaterials for delivering natural compounds has emerged as a promising approach for atherosclerosis therapy. However, premature drug release remains a challenge. Here, we present a ROS-responsive biomimetic nanocomplex co-loaded with Geniposide (GP) and Emodin (EM) in nanoliposome particles (LP NPs) for targeted atherosclerosis therapy. The nanocomplex, hybridized with the macrophage membrane (Møm), effectively evades immune system clearance and targets atherosclerotic plaques. A modified thioketal (TK) system responds to ROS-rich plaque regions, triggering controlled drug release. In vitro, the nanocomplex inhibits endothelial cell apoptosis and macrophage lipid accumulation, restores endothelial cell function, and promotes cholesterol effluxion. In vivo, it targets ROS-rich atherosclerotic plaques, reducing plaque area ROS levels and restoring endothelial cell function, consequently promoting cholesterol outflow. Our study demonstrates that ROS-responsive biomimetic nanocomplexes co-delivering GP and EM exert a synergistic effect against endothelial cell apoptosis and lipid deposition in macrophages, offering a promising dual-cell therapy modality for atherosclerosis regression.

Indexed as

AtherosclerosisEmodinIridoidsPlaque, AtheroscleroticCholesterolHumansLiposomesReactive Oxygen SpeciesCholesterolEmodingeniposideIridoidsLiposomesReactive Oxygen SpeciesAtherosclerosisBiomimetic liposomeEmodinGeniposideROS-responsive

Identifiers

PMID38528554
PMCPMC10962080
OpenAlexW4393161255

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.