Evidence map›Paper›PMID 31894121›Full record

ArticleJournal of biosciences2019

Biophysical methods for quality evaluation of decellularized and recellularized tissue-engineered constructs of organs and tissues.

Elena Alexandrovna Gubareva, Elena Vyacheslavovna Kuevda, Alexander Alexandrovich Basov, Aleksandr Sergeevich Sotnichenko, Sergey Nikolaevich Bolotin, Stepan Sergeevich Dzhimak

Abstract read
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Article in Journal of biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Elena Alexandrovna GubarevaKuban State Medical University, Krasnodar, Russian Federation.
Elena Vyacheslavovna Kuevda
Alexander Alexandrovich Basov
Aleksandr Sergeevich Sotnichenko
Sergey Nikolaevich Bolotin
Stepan Sergeevich Dzhimak
Kuban State Medical University · RUKuban State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue engineering is rapidly growing now and can become a promising alternative to transplantation of organs and tissues, as it is devoid of major shortcomings of transplantology, such as acute shortage, complexity of selection, delivery and storage of donor material, lifelong immunosuppressive therapy. One of the most widely known methods of obtaining biological scaffolds for the subsequent creation of tissue-engineered constructs of organs and tissues is decellularization. The evaluation of the quality of the obtained scaffolds, based on the study of the viability of cell structures in decellularized and recellularized matrices, is one of the priorities of modern regenerative medicine worldwide. In this investigation, the biophysical criteria of decellularization and recellularization of tissue-engineered constructs based on the evaluation of the generation of free radicals in native, decellularized and recellularized tissues by EPR spectroscopy and chemoluminescence in a complex assessment of the quality of biological matrixes obtained are considered using intrathoracic organs and tissues of rats. It has been established that the intensity indices of free radical generation in native and recellularized tissues of animal organs, as well as in decellularized matrices, can serve as one of the express criteria for quantitative assessment of cell structures viability.

Indexed as

Biophysical PhenomenaAcellular DermisAnimalsCell ProliferationElectron Spin Resonance SpectroscopyFree RadicalsHumansLuminescent MeasurementsRatsRegenerative MedicineTissue EngineeringTissue ScaffoldsFree Radicals

Identifiers

PMID31894121
OpenAlexW2981946979

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Registered trials

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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.