ArticlePloS one2018
Comparative metabolomics of aging in a long-lived bat: Insights into the physiology of extreme longevity.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 29 citations in OpenAlex.
- Aging in Spaceflight, Oxidative Stress, and Microbiome Dysbiosis: A Comprehensive Review.International journal of molecular sciences · 2026Review
- Gut microbiota and healthy longevity.Science China. Life sciences · 2024Review
- Resistance to age-related hearing loss in the echolocating big brown bat (Proceedings. Biological sciences · 2024Article
- Next Generation Sequencing Revolutionizes Organismal Biology Research in Bats.Journal of molecular evolution · 2023Review
- Age-related alterations in metabolome and microbiome provide insights in dietary transition in giant pandas.mSystems · 2023Article
- The kynurenine pathway in HIV, frailty and inflammaging.Frontiers in immunology · 2023Review
- Optimizing Translational Research for Exceptional Health and Life Span: A Systematic Narrative of Studies to Identify Translatable Therapeutic Target(s) for Exceptional Health Span in Humans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Metabolome Profiling in Aging Studies.Biology · 2022Review
- Pretreatment with IPA ameliorates colitis in mice: Colon transcriptome and fecal 16S amplicon profiling.Frontiers in immunology · 2022Article
- Comparative Metabolomic Study ofInternational journal of molecular sciences · 2021Article
- Article
- Tryptophan-metabolizing gut microbes regulate adult neurogenesis via the aryl hydrocarbon receptor.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Evolution of mammalian longevity: age-related increase in autophagy in bats compared to other mammals.Aging · 2021Article
- Article
- Faraway, so close. The comparative method and the potential of non-model animals in mitochondrial research.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Review
- Non-invasive exploration of metabolic profile of lung cancer with Magnetic Resonance Spectroscopy and Mass Spectrometry.Contemporary clinical trials communications · 2019Article
- High basal heat-shock protein expression in bats confers resistance to cellular heat/oxidative stress.Cell stress & chaperones · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vespertilionid bats (Mammalia: Order Chiroptera) live 3-10 times longer than other mammals of an equivalent body size. At present, nothing is known of how bat fecal metabolic profiles shift with age in any taxa. This study established the feasibility of using a non-invasive, fecal metabolomics approach to examine age-related differences in the fecal metabolome of young and elderly adult big brown bats (Eptesicus fuscus) as an initial investigation into using metabolomics for age determination. Samples were collected from captive, known-aged big brown bats (Eptesicus fuscus) from 1 to over 14 years of age: these two ages represent age groups separated by approximately 75% of the known natural lifespan of this taxon. Results showed 41 metabolites differentiated young (n = 22) and elderly (n = 6) Eptesicus. Significant differences in metabolites between young and elderly bats were associated with tryptophan metabolism and incomplete protein digestion. Results support further exploration of the physiological mechanisms bats employ to achieve exceptional longevity.
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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.