ReviewMolecular endocrinology (Baltimore, Md.)2015
Minireview: The Complexities of IGF/Insulin Signaling in Aging: Why Flies and Worms Are Not Humans.
Review in Molecular endocrinology (Baltimore, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Organelle resilience as a comparative blueprint for longevity.EMBO molecular medicine · 2026Review
- Mutation in IR or IGF1R produces features of long-lived mice while maintaining metabolic health.JCI insight · 2025Article
- Review
- Distinct, common and synergistic effects of insulin and IGF-1 receptors on healthy murine ageing.Heliyon · 2024Article
- Cardiac PI3K p110α attenuation delays aging and extends lifespan.Cell stress · 2022Article
- Perinatal Obesity Induces Hepatic Growth Restriction with Increased DNA Damage Response, Senescence, and Dysregulated Igf-1-Akt-Foxo1 Signaling in Male Offspring of Obese Mice.International journal of molecular sciences · 2022Article
- Therapeutic IGF-I receptor inhibition alters fibrocyte immune phenotype in thyroid-associated ophthalmopathy.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Extension ofEvidence-based complementary and alternative medicine : eCAM · 2021Article
- Disparate Central and Peripheral Effects of Circulating IGF-1 Deficiency on Tissue Mitochondrial Function.Molecular neurobiology · 2020Article
- Insulin-like growth factor receptor signaling regulates working memory, mitochondrial metabolism, and amyloid-β uptake in astrocytes.Molecular metabolism · 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
1 author.
Funding
Abstract
A remarkable plasticity in life span has been uncovered in recent years, offering hope that the basic mechanisms of aging and interventions that delay aging may be identified in the coming decades. Life span extension has been achieved by genetic manipulation in multiple organisms including Sarcomyces cervisae, Caenorhabditis elegans, and Drosophila melanogaster, resulting in more than a doubling of life span in some cases. Typically, a reduction in function has been the most effective approach to extending life span, and a reduction in the insulin/IGF-1 signaling pathway appears to provide the most robust increase in life span. This highly conserved pathway integrates growth/survival signals with nutrient status. In mammals, it comprises part of the neuroendocrine axis, a critical regulator of growth and development. Reduced functionality of the neuroendocrine axis itself promotes life span extension in mammals; however, reduced activity of the IGF-1 signaling pathway specifically leads to less robust increases in life span. This review examines the differences in the insulin/IGF-1 axis between invertebrate and mammalian systems and discusses implications of these differences in terms of life span modulation.
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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.