ArticleCurrent gerontology and geriatrics research2012
The use of mouse models for understanding the biology of down syndrome and aging.
Article in Current gerontology and geriatrics research, 2012. 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.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- A Researcher's guide to rodent models of Down syndrome: Recent insights and translational perspectives.STAR protocols · 2026Review
- Sleep Fragmentation in TcMAC21 Mouse Model of Down Syndrome.Nature and science of sleep · 2025Article
- Hardwiring tissue-specific AAV transduction in mice through engineered receptor expression.Nature methods · 2023Article
- Breathing and Oxygen Carrying Capacity in Ts65Dn and Down Syndrome.Function (Oxford, England) · 2023Article
- The Underlying Relationship between Keratoconus and Down Syndrome.International journal of molecular sciences · 2022Review
- Down Syndrome Is a Metabolic Disease: Altered Insulin Signaling Mediates Peripheral and Brain Dysfunctions.Frontiers in neuroscience · 2020Review
- Proteomic analysis of six- and twelve-month hippocampus and cerebellum in a murine Down syndrome model.Neurobiology of aging · 2018Article
- Rapamycin Treatment Ameliorates Age-Related Accumulation of Toxic Metabolic Intermediates in Brains of the Ts65Dn Mouse Model of Down Syndrome and Aging.Frontiers in aging neuroscience · 2018Article
- Identification of a DNA methylation signature in blood cells from persons with Down Syndrome.Aging · 2015Article
- Meeting at the crossroads: common mechanisms in Fragile X and Down syndrome.Trends in neurosciences · 2013Review
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Down syndrome is a complex condition caused by trisomy of human chromosome 21. The biology of aging may be different in individuals with Down syndrome; this is not well understood in any organism. Because of its complexity, many aspects of Down syndrome must be studied either in humans or in animal models. Studies in humans are essential but are limited for ethical and practical reasons. Fortunately, genetically altered mice can serve as extremely useful models of Down syndrome, and progress in their production and analysis has been remarkable. Here, we describe various mouse models that have been used to study Down syndrome. We focus on segmental trisomies of mouse chromosome regions syntenic to human chromosome 21, mice in which individual genes have been introduced, or mice in which genes have been silenced by targeted mutagenesis. We selected a limited number of genes for which considerable evidence links them to aspects of Down syndrome, and about which much is known regarding their function. We focused on genes important for brain and cognitive function, and for the altered cancer spectrum seen in individuals with Down syndrome. We conclude with observations on the usefulness of mouse models and speculation on future directions.
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.