ReviewCold Spring Harbor perspectives in medicine2017
Role of Nuclear Receptors in Exercise-Induced Muscle Adaptations.
Review in Cold Spring Harbor perspectives in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- The molecular athlete: exercise physiology from mechanisms to medals.Physiological reviews · 2023Review
- Novel Potential Targets for Function-Promoting Therapies: Orphan Nuclear Receptors, Anti-inflammatory Drugs, Troponin Activators, Mas Receptor Agonists, and Urolithin A.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- A Modular Mathematical Model of Exercise-Induced Changes in Metabolism, Signaling, and Gene Expression in Human Skeletal Muscle.International journal of molecular sciences · 2021Article
- Estrogen-related receptor α is involved in angiogenesis and skeletal muscle revascularization in hindlimb ischemia.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- Exercise adaptations: molecular mechanisms and potential targets for therapeutic benefit.Nature reviews. Endocrinology · 2020Review
- Pharmacological targeting of age-related changes in skeletal muscle tissue.Pharmacological research · 2020Review
- Modeling the transport of nuclear proteins along single skeletal muscle cells.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Article
- Dynamic enhancers control skeletal muscle identity and reprogramming.PLoS biology · 2019Article
- Endocrine Crosstalk Between Skeletal Muscle and the Brain.Frontiers in neurology · 2018Review
- Uncoupling Exercise Bioenergetics From Systemic Metabolic Homeostasis by Conditional Inactivation of Baf60 in Skeletal Muscle.Diabetes · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Skeletal muscle is not only one of the largest, but also one of the most dynamic organs. For example, plasticity elicited by endurance or resistance exercise entails complex transcriptional programs that are still poorly understood. Various signaling pathways are engaged in the contracting muscle fiber and collectively culminate in the modulation of the activity of numerous transcription factors (TFs) and coregulators. Because exercise confers many benefits for the prevention and treatment of a wide variety of pathologies, pharmacological activation of signaling pathways and TFs is an attractive avenue to elicit therapeutic effects. Members of the nuclear receptor (NR) superfamily are of particular interest owing to the presence of well-defined DNA- and ligand-binding domains. In this review, we summarize the current understanding of the involvement of NRs in muscle biology and exercise adaptation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.