ArticleAging2022
Different phases of aging in mouse old skeletal muscle.
Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed, 38 citations in OpenAlex.
- Article
- Whole-genome DNA methylation profile of female Gobiocypris rarus brains at three age stages.Scientific data · 2026Article
- Transcriptional profiling of male mouse muscle across aging stages: a gene ontology analysis of the muscle matreotype.BMC genomics · 2026Article
- Sex-specific nonlinear DNA methylation aging trajectories reveal biomarkers of cancer risk and inflammation.Genome biology · 2026Article
- Elevating Circulating L-Kynurenine Promotes Frailty in Aging Mice.Journal of cachexia, sarcopenia and muscle · 2026Article
- Age-related changes and lack of effect of midlife resistance wheel exercise on afferent connectivity of lumbar alpha motor neurons in ageing mouse spinal cord.Biogerontology · 2025Article
- Blockade of AGeroScience · 2025Article
- Emergence of CpG-cluster blanket methylation in aged tissues: a novel signature of epigenomic aging.Nucleic acids research · 2025Article
- Effects of aged garlic extract on aging?related changes in gastrointestinal function and enteric nervous system cells.Experimental and therapeutic medicine · 2025Article
- Voluntary wheel running promotes lymphangiogenesis in slow-twitch muscle in young mice.Frontiers in physiology · 2025Article
- Why an integrated view of gene expression studies on hematopoiesis in mouse aging is better than the sum of their parts.FEBS letters · 2024Review
- Cyclo His-Pro Attenuates Muscle Degeneration in Murine Myopathy Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- SETDB1 deletion causes DNA demethylation and upregulation of multiple zinc-finger genes.Molecular biology reports · 2024Article
- Translatability of mouse muscle-aging for humans: the role of sex.GeroScience · 2024Article
- Nonlinear DNA methylation trajectories in aging male mice.Nature communications · 2024Article
- Loss of calcitonin gene-related peptide (αCGRP) and use of a vestibular challenge highlight balance deficiencies in aging mice.PloS one · 2024Article
- Effects of Aging on Collagen in the Skeletal Muscle of Mice.International journal of molecular sciences · 2023Article
- Parallel shift of DNA methylation and gene expression toward the mean in mouse spleen with aging.Aging · 2023Article
- Skeletal Muscle Transcriptome Alterations Related to Declining Physical Function in Older Mice.Journal of ageing and longevity · 2023Article
- 11β-HSD1 determines the extent of muscle atrophy in a model of acute exacerbation of COPD.American journal of physiology. Lung cellular and molecular physiology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With a graying population and increasing longevity, it is essential to identify life transition in later years and discern heterogeneity among older people. Subclassifying the elderly population to inspect the subdivisions for pathophysiological differences is particularly important for the investigation of age-related illnesses. For this purpose, using 24- and 28-month-old mice to represent the "young-old" and "old-old", respectively, we compared their skeletal muscle transcriptomes and found each in a distinct stage: early/gradual (E-aging) and late/accelerated aging phase (L-aging). Principal component analysis showed that the old-old transcriptomes were largely disengaged from the forward transcriptomic trajectory generated in the younger-aged group, indicating a substantial change in gene expression profiles during L-aging. By calculating the transcriptomic distance, it was found that the 28-month group was closer to the two-month group than to the 24-month group. The divergence rate per month for the transcriptomes was the highest in L-aging, twice as fast as the rate in E-aging. Indeed, many of the L-aging genes were significantly altered in transcription, although the changes did not seem random but rather coordinated in a variety of functional gene sets. Of 2,707 genes transcriptionally altered during E-aging, two-thirds were also significantly changed during L-aging, to either downturning or upturning way. The downturn genes were related to mitochondrial function and translational gene sets, while the upturn genes were linked to inflammation-associated gene sets. Our results provide a transcriptomic muscle signature that distinguishes old-old mice from young-old mice. This can help to methodically examine muscle disorders in the elderly.
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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.