Cited by 60Muscle Physiology and DisordersNutrition and Health in AgingMuscle metabolism and nutrition

Long‐noncoding RNA Atrolnc‐1 promotes muscle wasting in mice with chronic kidney disease

Open access
Sun, Lijing, Si, Meijun, Liu, Xinyan, Choi, Jong Min, Wang, Yanlin, Thomas, Sandhya S., Peng, Hui, Hu, Zhaoyong·2018·Journal of Cachexia, Sarcopenia and Muscle

Abstract

Background: Chronic kidney disease (CKD) is commonly associated with cachexia, a condition that causes skeletal muscle wasting and an unfavourable prognosis. Although mechanisms leading to cachexia have been intensively studied, the advance of biological knowledges and technologies encourages us to make progress in understanding the pathogenesis of this disorder. Long noncoding RNAs (lncRNAs) are defined as >200 nucleotides RNAs but lack the protein‐coding potential. LncRNAs are involved in the pathogenesis of many diseases, but whether they functionally involve in muscle protein loss has not been investigated. Methods: We performed lncRNA array and identified an lncRNA, which we named Atrolnc‐1, remarkably elevated in atrophying muscles from mice with cachexia. We examined how overexpression or knockdown of Atrolnc‐1 could influence muscle protein synthesis and degradation. We also examined whether inhibition of Atrolnc‐1 ameliorates muscle wasting in mice with CKD. Results: We documented that Atrolnc‐1 expression is continuously increased in muscles of mice with fasting (5.4 fold), cancer (2.0 fold), or CKD (5.1 fold). We found that depressed insulin signalling stimulates the transcription factor C/EBP‐α binding to the promoter of Atrolnc‐1 and promotes the expression of Atrolnc‐1. In cultured C2C12 myotubes, overexpression of Atrolnc‐1 increases protein degradation (0.45±0.03 vs. 0.64±0.02, *p<0.05); Atrolnc‐1 knockdown significantly reduces the rate of protein degradation stimulated by serum depletion (0.61±0.03 vs. 0.47±0.02, *p<0.05). Using mass spectrometry and a lncRNA pull‐down assay, we identified that Atrolnc‐1 interacts with A20 binding inhibitor of NF‐κB‐1 (ABIN‐1). The interaction impairs function, resulting in enhanced NF‐κB activity plus MuRF‐1 transcription. This response is counteracted by CRISPR/dCas9 mediated overexpression. In muscles from normal mice, overexpression of Atrolnc‐1 stimulates a 2.7‐fold increase in MuRF‐1 expression leading to myofibers atrophy. In contrast, Atrolnc‐1 knockdown attenuates muscle wasting by 42% in mice with CKD via suppression of NF‐κB activity and MuRF‐1 expression. Conclusions: Our findings provide evidence that lncRNAs initiates the pathophysiological process of muscle wasting. The interaction between Atrolnc‐1 and NF‐κB signalling modulates muscle mass and proteolysis in CKD and perhaps other catabolic conditions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jcsm.12321

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sun, L., Si, M., Liu, X., Choi, J. M., Wang, Y., Thomas, S. S., Peng, H., & Hu, Z.
Affiliations
  • Baylor College of Medicine (US)
  • Third Affiliated Hospital of Sun Yat-sen University (CN)
  • Shanxi Medical University (CN)
  • Michael E. DeBakey VA Medical Center (US)
Corresponding author
  • Peng, Hui
  • Hu, Zhaoyong
Venue
Journal of Cachexia, Sarcopenia and Muscle
Publisher
Wiley
Published
2018-07-24
Volume
9
Issue
5
Pages
962-974
ISSN
  • 2190-5991 (ISSN-L)
  • 2190-6009
OpenAlex
W2883006285
Cited by
60
References
38
Citations by year
2026: 2 · 2025: 8 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 12 · 2020: 14 · 2019: 7 · 2018: 1 · 2017: 1
FWCI
3.02
Type
journal article
Language
en
Open access
Locations
  • Journal of Cachexia Sarcopenia and Muscle (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (NSFC81470955, NSFC81603558)
  • National Institutes of Health (5RO1‐AR063686)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
Keywords
long non-coding RNA, chronic kidney disease, muscle atrophy, cachexia, skeletal muscle atrophy, NF-κB signaling, MuRF1, C/EBPα, insulin signaling, muscle protein degradation, muscle protein synthesis, CRISPR/dCas9, C2C12 myotubes
MeSH terms
Animals, Cachexia, Cell Line, Disease Models, Animal, Male, Models, Biological, Signal Transduction, Biomarkers, Gene Expression, NF-kappa B, Muscle, Skeletal, Muscle Fibers, Skeletal, Gene Expression Profiling, Ubiquitin, Proteasome Endopeptidase Complex, Mice, Renal Insufficiency, Chronic, Proteolysis, RNA, Long Noncoding

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review