Evidence map›Paper›PMID 29653287›Full record

ArticleBiomaterials2018

Detecting the functional complexities between high-density lipoprotein mimetics.

Yoshitaka J Sei, Jungho Ahn, Taeyoung Kim, Eunjung Shin, Angel J Santiago-Lopez, Seung Soon Jang, Noo Li Jeon, Young C Jang, YongTae Kim

Abstract read
In one paragraph

Article in Biomaterials, 2018. 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
2.6field-weighted citation impact, top 11% 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, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. HDL Mimetic Peptides.Advances in experimental medicine and biology · 2022
    Article
  5. Review
  6. Article
  7. Engineered biomimetic nanoparticle for dual targeting of the cancer stem-like cell population in sonic hedgehog medulloblastoma.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Article
  10. Article
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 2 countries.

Yoshitaka J SeiGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Jungho AhnGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-744, South Korea.
Taeyoung KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Eunjung ShinSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Angel J Santiago-LopezParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Seung Soon JangParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Noo Li JeonSchool of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-744, South Korea.
Young C JangParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
YongTae KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA 30332, USA. Electronic address: ytkim@gatech.edu.
Georgia Institute of Technology · USSeoul National University · KRThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Research Training Program Plan on Cell and Tissue Engineering (CTEng)T32GM008433 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 1991 to 2021
$7.1M
Probing the functional heterogeneity of high-density lipoprotein using physiological biomimicryDP2HL142050 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI KIM, YONGTAE · 2017 to 2017
$2.4M
NHLBI NIH HHS DP2 HL142050NIGMS NIH HHS T32 GM008433
6 · The paper itself

Abstract

High-density lipoprotein (HDL) is a key regulator of lipid homeostasis through its native roles like reverse cholesterol transport. The reconstitution of this natural nanoparticle (NP) has become a nexus between nanomedicine and multi-disease therapies, for which a major portion of HDL functionality is attributed to its primary scaffolding protein, apolipoprotein A1 (apoA1). ApoA1-mimetic peptides were formulated as cost-effective alternatives to apoA1-based therapies; reverse-4F (r4F) is one such peptide used as part of a nanoparticle platform. While similarities between r4F- and apoA1-based HDL-mimetic nanoparticles have been identified, key functional differences native to HDL have remained undetected. In the present study, we executed a multidisciplinary approach to uncover these differences by exploring the form, function, and medical applicability of engineered HDL-mimetic NPs (eHNPs) made from r4F (eHNP-r4F) and from apoA1 (eHNP-A1). Comparative analyses of the eHNPs through computational molecular dynamics (MD), advanced microfluidic NP synthesis and screening technologies, and in vivo animal model studies extracted distinguishable eHNP characteristics: the eHNPs share identical structural and compositional characteristics with distinct differences in NP stability and organization; eHNP-A1 could more significantly stimulate anti-inflammatory responses characteristic of the scavenger receptor class B type 1 (SR-B1) mediated pathways; and eHNP-A1 could outperform eHNP-r4F in the delivery of a model hydrophobic drug to an in vivo tumor. The biomimetic microfluidic technologies and MD simulations uniquely enabled our comparative analysis through which we determined that while eHNP-r4F is a capable NP with properties mimicking natural eHNP-A1, challenges remain in reconstituting the full functionality of NPs naturally derived from humans.

Indexed as

AnimalsAnti-Inflammatory AgentsApolipoprotein A-IBiomimetic MaterialsDoxorubicinDrug Delivery SystemsEndothelial CellsFemaleHL-60 CellsHumansHuman Umbilical Vein Endothelial CellsLipoproteins, HDLMacrophagesMiceMice, Inbred BALB CMice, NudeAnti-Inflammatory AgentsApolipoprotein A-IDoxorubicinLipoproteins, HDLPeptidesApoA1-mimeticApolipoprotein A1Drug deliveryMicrofluidicsNanoparticles

Identifiers

PMID29653287
PMCPMC5918464
OpenAlexW2795930250

What OpenQuestion holds

Textmetadata
LicenceTDM
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.