Evidence map›Paper›PMID 35408484›Full record

ArticleMolecules (Basel, Switzerland)2022

3D Neuronal Cell Culture Modeling Based on Highly Porous Ultra-High Molecular Weight Polyethylene.

Aleksey A Ustyugov, Nataliya A Sipyagina, Alena N Malkova, Elena A Straumal, Lyudmila L Yurkova, Anastasiya A Globa, Maria A Lapshina, Maria M Chicheva, Kirill D Chaprov, Aleksey V Maksimkin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. [Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Review
  2. 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

11 authors at 2 institutions in 1 country.

Aleksey A UstyugovInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.ORCID 0000-0003-1977-4797
Nataliya A SipyaginaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Alena N MalkovaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Elena A StraumalInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Lyudmila L YurkovaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Anastasiya A GlobaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Maria A LapshinaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.ORCID 0000-0002-5111-5241
Maria M ChichevaInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Kirill D ChaprovInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.ORCID 0000-0002-0258-1879
Aleksey V MaksimkinInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Sergey A LermontovInstitute of Physiologically Active Compounds of the Russian Academy of Sciences, 1 Severnij proezd, 142432 Chernogolovka, Russia.
Institute of Physiologically Active Compounds · RUNational University of Science and Technology · RU

Funding

Russian Science Foundation 18-13-00145
6 · The paper itself

Abstract

Cell culturing methods in its classical 2D approach have limitations associated with altered cell morphology, gene expression patterns, migration, cell cycle and proliferation. Moreover, high throughput drug screening is mainly performed on 2D cell cultures which are physiologically far from proper cell functions resulting in inadequate hit-compounds which subsequently fail. A shift to 3D culturing protocols could solve issues with altered cell biochemistry and signaling which would lead to a proper recapitulation of physiological conditions in test systems. Here, we examined porous ultra-high molecular weight polyethylene (UHMWPE) as an inexpensive and robust material with varying pore sizes for cell culturing. We tested and developed culturing protocols for immortalized human neuroblastoma and primary mice hippocampal cells which resulted in high rate of cell penetration within one week of cultivation. UHMWPE was additionally functionalized with gelatin, poly-L-lysine, BSA and chitosan, resulting in increased cell penetrations of the material. We have also successfully traced GFP-tagged cells which were grown on a UHMWPE sample after one week from implantation into mice brain. Our findings highlight the importance of UHMWPE use as a 3D matrix and show new possibilities arising from the use of cheap and chemically homogeneous material for studying various types of cell-surface interactions further improving cell adhesion, viability and biocompatibility.

Indexed as

Cell Culture TechniquesPolyethylenesAnimalsCells, CulturedMiceMolecular WeightPolyethylenePorosityPolyethylenePolyethylenesultra-high molecular weight polyethylene3D cell culturecell functionscaffoldsUHMWPE

Identifiers

PMID35408484
PMCPMC9000589
OpenAlexW4220968801

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.