Evidence map›Paper›PMID 38345566›Full record

ArticleAging2024

Defining the progeria phenome.

Cecilie Worm, Maya Elena Ramirez Schambye, Garik V Mkrtchyan, Alexander Veviorskiy, Anastasia Shneyderman, Ivan V Ozerov, Alex Zhavoronkov, Daniela Bakula, Morten Scheibye-Knudsen

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular Framework of the Onset and Progression of Skeletal Muscle Aging.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cecilie WormCenter for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
Maya Elena Ramirez SchambyeCenter for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
Garik V MkrtchyanCenter for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
Alexander VeviorskiyInsilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE.
Anastasia ShneydermanInsilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China.
Ivan V OzerovInsilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China.
Alex ZhavoronkovInsilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE.
Daniela BakulaCenter for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
Morten Scheibye-KnudsenCenter for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progeroid disorders are a heterogenous group of rare and complex hereditary syndromes presenting with pleiotropic phenotypes associated with normal aging. Due to the large variation in clinical presentation the diseases pose a diagnostic challenge for clinicians which consequently restricts medical research. To accommodate the challenge, we compiled a list of known progeroid syndromes and calculated the mean prevalence of their associated phenotypes, defining what we term the 'progeria phenome'. The data were used to train a support vector machine that is available at https://www.mitodb.com and able to classify progerias based on phenotypes. Furthermore, this allowed us to investigate the correlation of progeroid syndromes and syndromes with various pathogenesis using hierarchical clustering algorithms and disease networks. We detected that ataxia-telangiectasia like disorder 2, spastic paraplegia 49 and Meier-Gorlin syndrome display strong association to progeroid syndromes, thereby implying that the syndromes are previously unrecognized progerias. In conclusion, our study has provided tools to evaluate the likelihood of a syndrome or patient being progeroid. This is a considerable step forward in our understanding of what constitutes a premature aging disorder and how to diagnose them.

Indexed as

Aging, PrematureCockayne SyndromeProgeriaAgingGrowth DisordersHumansPhenotypeagingclinical phenotypephenomepremature agingprogeria

Identifiers

PMID38345566
PMCPMC10911340

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.