Evidence map›Paper›PMID 41303670›Full record

ReviewInternational journal of molecular sciences2025

Neural Cues and Genomic Clues: NGS Insights into Neurogenic Sarcopenia and Muscle Atrophy.

Darya Kupriyanova, Airat Bilyalov, Nikita Filatov, Sergei Brovkin, Dmitrii Shestakov, Natalia Bodunova, Oleg Gusev

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Darya KupriyanovaFederal Center of Brain Research and Neurotechnology of the Federal Medical Biological Agency (FMBA) of Russia, 117513 Moscow, Russia.
Airat BilyalovSBHI Moscow Clinical Scientific Center Named After Loginov MHD, 111123 Moscow, Russia.ORCID 0000-0002-8888-8395
Nikita FilatovLife Improvement by Future Technologies (LIFT) Center, 121205 Moscow, Russia.ORCID 0009-0000-9179-515X
Sergei BrovkinSBHI Moscow Clinical Scientific Center Named After Loginov MHD, 111123 Moscow, Russia.
Dmitrii ShestakovSBHI Moscow Clinical Scientific Center Named After Loginov MHD, 111123 Moscow, Russia.
Natalia BodunovaSBHI Moscow Clinical Scientific Center Named After Loginov MHD, 111123 Moscow, Russia.
Oleg GusevFederal Center of Brain Research and Neurotechnology of the Federal Medical Biological Agency (FMBA) of Russia, 117513 Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is a progressive loss of skeletal muscle mass and strength with major clinical and economic consequences. While traditional models emphasize mitochondrial dysfunction, inflammation, and proteostasis imbalance, emerging data highlight a neurogenic component involving motor neuron loss, fiber denervation, neuromuscular junction remodeling, and disrupted trophic signaling. To synthesize current evidence on neurogenic mechanisms of sarcopenia revealed by next-generation sequencing and related multi-omics, to map molecular networks across cell types, and to outline translational opportunities for diagnostics and targeted therapy. A narrative review of human and animal studies indexed in PubMed, Web of Science, and Scopus through November 2025. Search terms combined sarcopenia, denervation, neuromuscular junction, neurotrophic signaling, genomics, transcriptomics, epigenomics, single-cell, and spatial transcriptomics. Eligible studies reported omics or physiological endpoints related to neuromuscular function. Convergent omics data support a central role of the nervous system in the onset and progression of sarcopenia. Genetic and regulatory factors linked to denervation, transcriptomic signatures of junctional disassembly, and cell-specific dysfunctions in motor neurons, Schwann cells, satellite cells, and fibro-adipogenic progenitors have been identified. Epigenetic and transcriptional networks underlying neuromuscular homeostasis, along with candidate circulating biomarkers, provide targets for clinical translation. Neurogenic sarcopenia represents a tractable target for precision prevention and therapy. Integration of multi-omics, artificial intelligence, and advanced models such as innervated organoids and NMJ-on-chip systems can accelerate target validation and enable personalized strategies to preserve neuromuscular function.

Indexed as

High-Throughput Nucleotide SequencingMuscular AtrophySarcopeniaAnimalsGenomicsHumansMotor NeuronsMuscle, SkeletalNeuromuscular JunctionTranscriptomeagingartificial intelligencemodelmotor neuronneuromuscular diseaseneuromuscular junction (NMJ)NGSomics datasarcopeniaskeletal musclesynapse

Identifiers

PMID41303670
PMCPMC12652749

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.