Evidence map›Paper›PMID 32477452›Full record

ReviewWorld journal of diabetes2020

Shared (epi)genomic background connecting neurodegenerative diseases and type 2 diabetes.

Valerio Caputo, Andrea Termine, Claudia Strafella, Emiliano Giardina, Raffaella Cascella

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Proposed minimal essential co-expression and physical interaction networks involved in the development of cognition impairment in human mid and late life.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  6. 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

5 authors at 2 institutions in 1 country.

Valerio CaputoDepartment of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy.
Andrea TermineMolecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy.
Claudia StrafellaMolecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy.
Emiliano GiardinaMolecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy.
Raffaella CascellaDepartment of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy.
Fondazione Santa Lucia · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progressive aging of populations has resulted in an increased prevalence of chronic pathologies, especially of metabolic, neurodegenerative and movement disorders. In particular, type 2 diabetes (T2D), Alzheimer's disease (AD) and Parkinson's disease (PD) are among the most prevalent age-related, multifactorial pathologies that deserve particular attention, given their dramatic impact on patient quality of life, their economic and social burden as well the etiopathogenetic mechanisms, which may overlap in some cases. Indeed, the existence of common triggering factors reflects the contribution of mutual genetic, epigenetic and environmental features in the etiopathogenetic mechanisms underlying T2D and AD/PD. On this subject, this review will summarize the shared (epi)genomic features that characterize these complex pathologies. In particular, genetic variants and gene expression profiles associated with T2D and AD/PD will be discussed as possible contributors to determine the susceptibility and progression to these disorders. Moreover, potential shared epigenetic modifications and factors among T2D, AD and PD will also be illustrated. Overall, this review shows that findings from genomic studies still deserves further research to evaluate and identify genetic factors that directly contribute to the shared etiopathogenesis. Moreover, a common epigenetic background still needs to be investigated and characterized. The evidences discussed in this review underline the importance of integrating large-scale (epi)genomic data with additional molecular information and clinical and social background in order to finely dissect the complex etiopathogenic networks that build up the "disease interactome" characterizing T2D, AD and PD.

Indexed as

Alzheimer’s diseaseDisease interactomeEpigenomic backgroundGenetic variantsMetabolismNeurodegenerationNeuroinflammationParkinson’s diseaseType 2 diabetes

Identifiers

PMID32477452
PMCPMC7243483
OpenAlexW3021793018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.