Evidence map›Paper›PMID 29440889›Full record

ArticleInternational journal of nanomedicine2018

A novel therapeutic strategy for cartilage diseases based on lipid nanoparticle-RNAi delivery system.

Shaowei Wang, Xiaochun Wei, Xiaojuan Sun, Chongwei Chen, Jingming Zhou, Ge Zhang, Heng Wu, Baosheng Guo, Lei Wei

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

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  12. Management of osteoarthritis: From drug molecules to nano/micromedicines.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022
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  18. Article
  19. Short interfering RNA (siRNA)-Based Therapeutics for Cartilage Diseases.Regenerative engineering and translational medicine · 2020
    Article
  20. Applications of RNA interference in the treatment of arthritis.Translational research : the journal of laboratory and clinical medicine · 2019
    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

9 authors at 3 institutions in 3 countries.

Shaowei WangDepartment of Orthopaedics, The 2nd Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaochun WeiDepartment of Orthopaedics, The 2nd Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaojuan SunDepartment of Orthopaedics, The 2nd Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chongwei ChenDepartment of Orthopaedics, The 2nd Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Jingming ZhouDepartment of Orthopaedics, Rhode Island Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Ge ZhangIntegrated Traditional Chinese and Western Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
Heng WuIntegrated Traditional Chinese and Western Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
Baosheng GuoIntegrated Traditional Chinese and Western Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
Lei WeiDepartment of Orthopaedics, The 2nd Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Shanxi Medical University · CNHong Kong Baptist University · HKBrown University · US

Funding

COBRE for Skeletal Health and RepairP20GM104937 · NIGMS · RHODE ISLAND HOSPITAL · PI CHEN, QIAN · 2012 to 2016
$10.8M
Pilot Projects ProgramP30GM122732 · NIGMS · RHODE ISLAND HOSPITAL · PI CHEN, QIAN · 2017 to 2021
$6.6M
NIGMS NIH HHS P20 GM104937NIGMS NIH HHS P30 GM122732
6 · The paper itself

Abstract

backgroundCartilage degeneration affects millions of people but preventing its degeneration is a big challenge. Although RNA interference (RNAi) has been used in human trials via silencing specific genes, the cartilage RNAi has not been possible to date because the cartilage is an avascular and very dense tissue with very low permeability. PURPOSE: The objective of this study was to develop and validate a novel lipid nanoparticle (LNP)-siRNA delivery system that can prevent cartilage degeneration by knocking down specific genes.

methodsLNP transfection efficiency was evaluated in vitro and ex vivo. Indian Hedgehog (

resultsIn vitro, 100% of chondrocytes were transfected with siRNA in the LNP-siRNA group. In accordance with the cell culture results, red positive signals could be detected even in the deep layer of cartilage tissue cultures treated by LNP-beacon. In vivo data showed that LNP is specific for cartilage, since positive signals were detected by fluorescence molecular tomography and confocal microscopy in joint cartilage injected with LNP-beacon, but not on the surface of the synovium. In the rat model of OA, intraarticular injection of LNP-Ihh siRNA attenuated OA progression, and PCR results showed LNP-Ihh siRNA exerted a positive impact on anabolic metabolism and negative impact on catabolic metabolism.

conclusionThis study demonstrates that our LNP-RNAi delivery system has a significantly chondroprotective effect that attenuates cartilage degeneration and holds great promise as a powerful tool for treatment of cartilage diseases by knocking down specific genes.

Indexed as

RNA InterferenceAnimalsCartilageCartilage DiseasesChickensChondrocytesDrug Delivery SystemsGene SilencingHedgehog ProteinsLipidsMaleMice, Inbred C57BLNanoparticlesOsteoarthritisRats, WistarRNA, Small InterferingHedgehog ProteinsIhh protein, ratLipidsRNA, Small Interferingcartilage diseasesdelivery systemlipid nanoparticleRNA interference

Identifiers

PMID29440889
PMCPMC5798567
OpenAlexW2793970692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.