ArticleGeriatrics & gerontology international2022
Aging-related metabolic changes in the extensor digitorum longus muscle of senescence-accelerated mouse-prone 8.
Article in Geriatrics & gerontology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Aging-Related Metabolome Analysis of the Masseter Muscle in Senescence-Accelerated Mouse-Prone 8.International journal of molecular sciences · 2024Article
- Effects of Turmeric Extract on Age-Related Skeletal Muscle Atrophy in Senescence-Accelerated Mice.Life (Basel, Switzerland) · 2023Article
- Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023Review
- Aging-related metabolic changes in the extensor digitorum longus muscle of senescence-accelerated mouse-prone 8.Geriatrics & gerontology international · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimSarcopenia - aging-related loss of muscle mass and muscle strength - is a key feature of the frailty model. In the present study, we aimed to elucidate the molecular biological changes associated with aging in the extensor digitorum longus muscle of senescence-accelerated mouse prone 8 mouse model by capillary electrophoresis-mass spectrometry.
methodsThree groups of senescence-accelerated mouse prone 8 mice were used, namely, 12-week-old (young; n = 5), 40-week-old (elderly; n = 5) and 55-week-old mice (late elderly; n = 5). The extensor digitorum longus muscle was collected. After preliminary analyses, metabolome analysis was carried out by capillary electrophoresis-mass spectrometry. Additionally, we examined whether the activity of enzymes in the metabolic pathway fluctuated with aging, by real-time polymerase chain reaction.
resultsAmong the 116 water-soluble metabolites associated with the central energy metabolism pathway, changes were observed in 19 metabolites between 12- and 40 -weeks-old, in 40 metabolites between 40- and 55-weeks-old, and in 57 metabolites between 12- and 55-weeks-old. The fluctuated metabolites that were common among the groups were Val, putrescine and His. The levels of putrescine, associated with cell proliferation, protein synthesis and nucleic acid synthesis, and β-Ala and His, a component of carnosine that is characterized by its anti-oxidant and anti-fatigue effects, decreased with age.
conclusionsWe confirmed that there were two aging-related metabolic changes in the extensor digitorum longus muscle of senescence-accelerated mouse prone 8 mice. Based on the changes in metabolites, cell senescence and fatigue in the extensor digitorum longus muscle might increase in old mice compared with those in young mice, showing molecular biological changes with aging. Geriatr Gerontol Int 2022; 22: 160-167.
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.