Evidence map›Paper›PMID 42450140›Full record

ReviewInternational journal of molecular sciences2026

Transcriptomics Insights into Spinal Cord Injury for Therapy Development.

Daria Chudakova, Olga Astakhova, Matthew Shkap, Ekaterina Levichkina, Alesya Soboleva, Artur Biktimirov, Vladimir Baklaushev

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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
–field-weighted citation impact
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.

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

7 authors.

Daria ChudakovaCenter for Precision Genetic Technologies for Medicine, Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-9354-6824
Olga AstakhovaLaboratory of Neuroregeneration, Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.ORCID 0000-0002-7957-1951
Matthew ShkapCenter for Precision Genetic Technologies for Medicine, Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0009-0009-2936-7029
Ekaterina LevichkinaDepartment of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC 3010, Australia.
Alesya SobolevaCenter for Precision Genetic Technologies for Medicine, Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences, 119991 Moscow, Russia.
Artur BiktimirovCenter for Cybernetic Medicine and Neuroprosthetics, Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Vladimir BaklaushevCenter for Precision Genetic Technologies for Medicine, Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-1039-4245

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2025-519
6 · The paper itself

Abstract

Traumatic spinal cord injury (SCI) is a severe medical condition, often resulting in permanent disability, with significant impacts on patients' quality of life and burden on healthcare systems. Current therapeutic approaches for SCI are insufficient, advocating for the development of more effective treatments. As changes in transcriptome post-SCI can provide clues for novel treatment strategies and targets, substantial efforts have been made recently to characterize such transcriptional changes and their spatiotemporal features. This narrative review focuses on how transcriptomics, alone or in combination with other omics data, can contribute to understanding SCI pathobiology and the mechanisms of post-SCI regeneration and guide the development of novel SCI therapies. It covers an arsenal of tools for transcriptomics studies and provides a concise summary of findings from the latest relevant studies (predominantly from 2020 to 2025), representing the major directions in the field.

Indexed as

Spinal Cord InjuriesTranscriptomeAnimalsGene Expression ProfilingHumansmesenchymal stromal/stem cells (MSCs)RNA-sequencing (RNA-seq)SCIsingle cell RNA-seq (scRNA-seq)single nucleus RNA-seq (snRNA-seq)spinal cord injury (SCI)transcriptomics

Identifiers

PMID42450140
PMCPMC13361947

What Socratic 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 Socratic graph.