Evidence map›Paper›PMID 30176941›Full record

ArticleJournal of nanobiotechnology2018

Chitosan-functionalized lipid-polymer hybrid nanoparticles for oral delivery of silymarin and enhanced lipid-lowering effect in NAFLD.

Jun Liang, Ying Liu, Jinguang Liu, Zhe Li, Qiangyuan Fan, Zifei Jiang, Fei Yan, Zhi Wang, Peiwen Huang, Nianping Feng

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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  17. Formulation of silymarin surface modified vesicles: In vitro characterization to cell viability assessment.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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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

10 authors at 1 institution in 1 country.

Jun LiangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Ying LiuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jinguang LiuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhe LiSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Qiangyuan FanSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zifei JiangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Fei YanSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhi WangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Peiwen HuangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Nianping FengSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. npfeng@hotmail.com.ORCID http://orcid.org/0000-0002-5303-2941
Shanghai University of Traditional Chinese Medicine · CN

Funding

National Natural Science Foundation of China 81573619National Natural Science Foundation of China 81773913
6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) is a chronic disease that causes excessive hepatic lipid accumulation. Reducing hepatic lipid deposition is a key issue in treatment and inhibition of NAFLD evolution. Silymarin is a potent hepatoprotective agent; however, it has low oral bioavailability due to its poor aqueous solubility and low membrane permeability. Unfortunately, few studies have addressed the development of convenient oral nanocarriers that can efficiently deliver silymarin to the liver and enhance its lipid-lowering effect. We designed silymarin-loaded lipid polymer hybrid nanoparticles containing chitosan (CS-LPNs) to improve silymarin bioavailability and evaluated their lipid-lowering effect in adiponutrin/patatin-like phospholipase-3 I148M transgenic mice, an NAFLD model.

resultsCompared to chitosan-free nanoparticles, CS-LPNs showed 1.92-fold higher uptake by fatty liver cells. Additionally, CS-LPNs significantly reduced TG levels in fatty liver cells in an in vitro lipid deposition assay, suggesting their potential lipid-lowering effects. The oral bioavailability of silymarin from CS-LPNs was 14.38-fold higher than that from suspensions in rats. Moreover, compared with chitosan-free nanoparticles, CS-LPNs effectively reduced blood lipid levels (TG), improved liver function (AST and ALT), and reduced lipid accumulation in the livers of mice in vivo. Reduced macrovesicular steatosis in pathological tissue after CS-LPN treatment indicated their protective effect against liver steatosis in NAFLD.

conclusionsCS-LPNs enhanced oral delivery of silymarin and exhibited a desirable lipid-lowering effect in a mouse model. These findings suggest that CS-LPNs may be a promising oral nanocarrier for NAFLD therapeutics.

Indexed as

Administration, OralAnimalsBiological AvailabilityBiological TransportCaco-2 CellsChitosanDelayed-Action PreparationsDrug CarriersDrug LiberationFemaleHep G2 CellsHumansLactic AcidLipidsLiverMaleChitosanDelayed-Action PreparationsDrug CarriersLactic AcidLipidsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSilymarinChitosan-functioned lipid-polymer hybrid nanoparticleLipid-lowering effectNon-alcoholic fatty liver diseaseOral bioavailabilitySilymarin

Identifiers

PMID30176941
PMCPMC6122632
OpenAlexW2889503570

What OpenQuestion holds

Textmetadata
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.