Evidence map›Paper›PMID 39206941›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A Genetically Engineered Biomimetic Nanodecoy for the Treatment of Liver Fibrosis.

Yang Du, Hao Ding, Yining Chen, Bingqiang Gao, Zhengwei Mao, Weilin Wang, Yuan Ding

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Multi-omics investigation into the role of PTK7 as a driver of liver fibrosis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. A Genetically Engineered Biomimetic Nanodecoy for the Treatment of Liver Fibrosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. 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

7 authors.

Yang DuDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.ORCID 0000-0003-4173-1793
Hao DingDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Yining ChenDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Bingqiang GaoDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Zhengwei MaoDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.ORCID 0000-0001-7990-2856
Weilin WangDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Yuan DingDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.

Funding

Central Guidance on Local Science and Technology Development Fund of Zhejiang Province 2024ZY01006Fundamental Research Funds for the Central Universities 226-2023-00038Key Project of Traditional Chinese Medicine Science and Technology Plan of Zhejiang Province GZY-ZJ-KJ-24077Key Research and Development Program of Zhejiang Province 2024C03143National Natural Science Foundation of China 82072650National Natural Science Foundation of China 82272860National Natural Science Foundation of China 82302485National Natural Science Foundation of China U23A202181Special Financial Support for Zhejiang Traditional Chinese Medicine Innovation TeamsZhejiang Provincial Natural Science Foundation of China LQ22C100004
6 · The paper itself

Abstract

Liver fibrosis, arising from factors such as viral infections or metabolic disorders, represents an ongoing global health challenge and is a major risk factor for hepatocellular carcinoma. Unfortunately, there are no clinically approved drugs available for its treatment. Recent studies have illuminated the pivotal role of macrophage recruitment in the pathogenesis of liver fibrosis, presenting a potential therapeutic target. Therefore, it holds great promise to develop novel anti-fibrotic therapies capable of inhibiting this process. Herein, a drug-loaded biomimetic nanodecoy (CNV-C) is developed by harnessing genetically engineered cellular vesicles for the treatment of liver fibrosis. CNV-C is equipped with a C-C motif chemokine receptor 2 (CCR2)-overexpressed surface, enabling it to selectively neutralize elevated levels of C-C motif chemokine ligand 2 (CCL2), thereby reducing macrophage infiltration and the subsequent production of the fibrogenic cytokine transforming growth factor β (TGF-β). Moreover, curcumin, an anti-fibrotic agent, is loaded into CNV-C and delivered to the liver, facilitating its efficacy in suppressing the activation of hepatic stellate cells by blocking the downstream TGF-β/Smad signaling. This combinational therapy ultimately culminates in the alleviation of liver fibrosis in a mouse model induced by carbon tetrachloride. Collectively, the findings provide groundbreaking proof-of-concept for employing genetically modified nanodecoys to manage liver fibrosis, which may usher in a new era of anti-fibrotic treatments.

Indexed as

Disease Models, AnimalLiver CirrhosisAnimalsBiomimetic MaterialsBiomimeticsCurcuminGenetic EngineeringMaleMiceMice, Inbred C57BLTransforming Growth Factor betaCurcuminTransforming Growth Factor betabiomimetic nanodecoycellular nanovesicledrug deliverygenetic engineeringliver fibrosis

Identifiers

PMID39206941
PMCPMC11516072

What OpenQuestion holds

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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.