Evidence mapPaperPMID 35726356Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Decoding the transcriptome of denervated muscle at single-nucleus resolution.

Hongchun Lin, Xinxin Ma, Yuxiang Sun, Hui Peng, Yanlin Wang, Sandhya Sara Thomas, Zhaoyong Hu

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 59 citations in OpenAlex.

  1. Muscle fibre denervation in ageing.Clinical science (London, England : 1979) · 2026
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  9. The multimodal transcriptional response of denervated skeletal muscle involves regulation ofProceedings of the National Academy of Sciences of the United States of America · 2025
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  15. PdgfrαGenes & diseases · 2025
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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 at 3 institutions in 2 countries.

Hongchun LinNephrology Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Xinxin MaNephrology Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Yuxiang SunNephrology Division, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hui PengNephrology Division, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanlin WangDivision of Nephrology, Department of Medicine, University of Connecticut School of Medicine, Farmington, CT, USA.
Sandhya Sara ThomasNephrology Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Zhaoyong HuNephrology Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-4171-3587
Baylor College of Medicine · USSun Yat-sen University · CNUniversity of Connecticut · US

Funding

PROTEIN NUTRITION IN EXPERIMENTAL UREMIAR01DK037175 · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · 1986 to 2025
$1.8M
BLRD VA I01 BX002650NIAMS NIH HHS R01 AR063686NIAMS NIH HHS R56 AR063686NIDDK NIH HHS R01 DK037175NIDDK NIH HHS R01 DK095835
6 · The paper itself

Abstract

backgroundSkeletal muscle exhibits remarkable plasticity under both physiological and pathological conditions. One major manifestation of this plasticity is muscle atrophy that is an adaptive response to catabolic stimuli. Because the heterogeneous transcriptome responses to catabolism in different types of muscle cells are not fully characterized, we applied single-nucleus RNA sequencing (snRNA-seq) to unveil muscle atrophy related transcriptional changes at single nucleus resolution.

methodsUsing a sciatic denervation mouse model of muscle atrophy, snRNA-seq was performed to generate single-nucleus transcriptional profiles of the gastrocnemius muscle from normal and denervated mice. Various bioinformatics analyses, including unsupervised clustering, functional enrichment analysis, trajectory analysis, regulon inference, metabolic signature characterization and cell-cell communication prediction, were applied to illustrate the transcriptome changes of the individual cell types.

resultsA total of 29 539 muscle nuclei (normal vs. denervation: 15 739 vs. 13 800) were classified into 13 nuclear types according to the known cell markers. Among these, the type IIb myonuclei were further divided into two subgroups, which we designated as type IIb1 and type IIb2 myonuclei. In response to denervation, the proportion of type IIb2 myonuclei increased sharply (78.12% vs. 38.45%, P < 0.05). Concomitantly, trajectory analysis revealed that denervated type IIb2 myonuclei clearly deviated away from the normal type IIb2 myonuclei, indicating that this subgroup underwent robust transcriptional reprogramming upon denervation. Signature genes in denervated type IIb2 myonuclei included Runx1, Gadd45a, Igfn1, Robo2, Dlg2, and Sh3d19 (P < 0.001). The gene regulatory network analysis captured a group of atrophy-related regulons (Foxo3, Runx1, Elk4, and Bhlhe40) whose activities were enhanced (P < 0.01), especially in the type IIb2 myonuclei. The metabolic landscape in the myonuclei showed that most of the metabolic pathways were down-regulated by denervation (P < 0.001), while some of the metabolic signalling, such as glutathione metabolism, was specifically activated in the denervated type IIb2 myonulei. We also investigated the transcriptomic alterations in the type I myofibres, muscle stem cells, fibro-adipogenic progenitors, macrophages, endothelial cells and pericytes and characterized their signature responses to denervation. By predicting the cell-cell interactions, we observed that the communications between myofibres and muscle resident cells were diminished by denervation.

conclusionsOur results define the myonuclear transition, metabolic remodelling, and gene regulation networks reprogramming associated with denervation-induced muscle atrophy and illustrate the molecular basis of the heterogeneity and plasticity of muscle cells in response to catabolism. These results provide a useful resource for exploring the molecular mechanism of muscle atrophy.

Indexed as

DenervationMuscular AtrophyTranscriptomeAnimalsEndothelial CellsMiceMuscle, SkeletalRNA, Small NuclearRNA, Small NuclearDenervationMuscle atrophyMuscle metabolismSkeletal musclesnRNA-seq

Identifiers

PMID35726356
PMCPMC9398230
OpenAlexW4283210138

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.