Evidence map›Paper›PMID 32594030›Full record

ReviewNeural regeneration research2020

Mounting evidence of FKBP12 implication in neurodegeneration.

Gabriella Caminati, Piero Procacci

Open access · goldAbstract readReview
In one paragraph

Review in Neural regeneration research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
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  9. Article
  10. Review
  11. Proteomic Analysis of Rhesus Macaque Brain Explants Treated WithFrontiers in cellular and infection microbiology · 2021
    Article
  12. Article
  13. Evidence-based complementary and alternative medicine : eCAM · 2020
    Review
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

2 authors at 2 institutions in 1 country.

Gabriella CaminatiDepartment of Chemistry "Ugo Schiff ", University of Florence; Center for Colloid and Surface Science (CSGI), University of Florence, Sesto Fiorentino, Italy.
Piero ProcacciDepartment of Chemistry "Ugo Schiff ", University of Florence, Sesto Fiorentino, Italy.
Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande Interfase · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsically disordered proteins, such as tau or α-synuclein, have long been associated with a dysfunctional role in neurodegenerative diseases. In Alzheimer's and Parkinson's' diseases, these proteins, sharing a common chemical-physical pattern with alternating hydrophobic and hydrophilic domains rich in prolines, abnormally aggregate in tangles in the brain leading to progressive loss of neurons. In this review, we present an overview linking the studies on the implication of the peptidyl-prolyl isomerase domain of immunophilins, and notably FKBP12, to a variety of neurodegenerative diseases, focusing on the molecular origin of such a role. The involvement of FKBP12 dysregulation in the aberrant aggregation of disordered proteins pinpoints this protein as a possible therapeutic target and, at the same time, as a predictive biomarker for early diagnosis in neurodegeneration, calling for the development of reliable, fast and cost-effective detection methods in body fluids for community-based screening campaigns.

Indexed as

Alzheimer’s diseasebiomarkerdetectionsFK506 binding proteinFKBP12neurodegenerationParkinson’s diseasetau proteinα-synuclein

Identifiers

PMID32594030
PMCPMC7749462
OpenAlexW3036324240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.