Evidence map›Paper›PMID 29894758›Full record

ArticleInternational journal of pharmaceutics2018

Lipidation of polyethylenimine-based polyplex increases serum stability of bioengineered RNAi agents and offers more consistent tumoral gene knockdown in vivo.

Qian-Yu Zhang, Pui Yan Ho, Mei-Juan Tu, Joseph L Jilek, Qiu-Xia Chen, Su Zeng, Ai-Ming Yu

Abstract read
In one paragraph

Article in International journal of pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  7. RNAi-Based Therapeutics and Novel RNA Bioengineering Technologies.The Journal of pharmacology and experimental therapeutics · 2023
    Review
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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

7 authors at 2 institutions in 2 countries.

Qian-Yu ZhangDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Pui Yan HoDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Mei-Juan TuDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Joseph L JilekDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Qiu-Xia ChenDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Su ZengCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Ai-Ming YuDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA. Electronic address: aimyu@ucdavis.edu.
University of California, Davis · USZhejiang University · CN

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Novel bioengineered microRNA therapeutics for lung cancerR01CA225958 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aiming Yu · 2019 to 2026
$3.7M
Predoctoral Training in Pharmacological SciencesT32GM099608 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HELL, JOHANNES W · 2012 to 2021
$2.2M
MicroRNA-1291 in Regulation of Xenobiotic Disposition and Cell DifferentiationU01CA175315 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YU, AIMING · 2014 to 2018
$1.6M
Recombinant microRNAs in xenobiotic dispositionR01GM113888 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YU, AIMING · 2016 to 2019
$1.3M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA225958NCI NIH HHS U01 CA175315NIGMS NIH HHS R01 GM113888NIGMS NIH HHS T32 GM099608
6 · The paper itself

Abstract

Recently we have established a novel approach to produce bioengineered noncoding RNA agents (BERAs) in living cells that carry target RNAi molecules (e.g., siRNA and miRNA) and thus act as "prodrugs". Using GFP-siRNA-loaded BERA (BERA/GFP-siRNA) as a model molecule, this study was to define the in vitro and in vivo knockdown efficiency of BERAs delivered by liposome-polyethylenimine nanocomplex (lipopolyplex or LPP). Compared to in vivo-jetPEI® (IVJ-PEI) and polyplex formulations, LPP offered greater protection of BERA/GFP-siRNA against degradation by serum RNases. Particle sizes and zeta potentials of LPP nanocomplex remained stable over 28 days when stored at 4 °C. Furthermore, comparable levels of BERA/GFP-siRNA were delivered by LPP and IVJ-PEI to luciferase/GFP-expressing human SK-Hep1-Luc-GFP or A549-Luc-GFP cells, which were selectively processed into target GFP-siRNA and subsequently knocked down GFP mRNA and protein levels. In addition, LPP-carried BERA/GFP-siRNA was successfully delivered into xenograft tumors and offered more consistent knockdown of tumoral GFP mRNA level in an orthotopic hepatocellular carcinoma (HCC) SK-Hep1-Luc-GFP xenograft mouse model, while IVJ-PEI formulation showed larger variation. These findings demonstrated that lipidation of polyplexes improved serum stability of biologic RNAi molecules, which was efficiently delivered to orthotopic HCC tissues to knock down target gene expression.

Indexed as

RNA InterferenceAnimalsBioengineeringCarcinoma, HepatocellularCell Line, TumorGene Knockdown TechniquesGene Transfer TechniquesHumansLiposomesLiver NeoplasmsLuciferasesMaleMiceMice, NudeNanoparticlesPolyethyleneimineLiposomesLuciferasesPolyethyleneimineRibonucleasesRNA, Small InterferingBioengineeringCancerLipopolyplexMouse modelOrthotopic HCCRNA deliverysiRNA

Identifiers

PMID29894758
PMCPMC6388695
OpenAlexW2807067414

What OpenQuestion holds

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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.