Evidence mapPaperPMID 36388931Full record

ReviewFrontiers in medicine2022

The role of the mTOR pathway in diabetic retinopathy.

Fabio Casciano, Enrico Zauli, Erika Rimondi, Marco Mura, Maurizio Previati, Massimo Busin, Giorgio Zauli

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  11. Cognitive Impairment in Multiple Sclerosis.Bioengineering (Basel, Switzerland) · 2023
    Review
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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

7 authors at 2 institutions in 2 countries.

Fabio CascianoDepartment of Translational Medicine and LTTA Centre, University of Ferrara, Ferrara, Italy.
Enrico ZauliDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Erika RimondiDepartment of Translational Medicine and LTTA Centre, University of Ferrara, Ferrara, Italy.
Marco MuraResearch Department, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia.
Maurizio PreviatiDepartment of Translational Medicine and LTTA Centre, University of Ferrara, Ferrara, Italy.
Massimo BusinDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Giorgio ZauliResearch Department, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia.
University of Ferrara · ITKing Khaled Eye Specialist Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina, the part of the eye, translates the light signal into an electric current that can be sent to the brain as visual information. To achieve this, the retina requires fine-tuned vascularization for its energy supply. Diabetic retinopathy (DR) causes alterations in the eye vascularization that reduce the oxygen supply with consequent retinal neurodegeneration. During DR, the mammalian target of rapamycin (mTOR) pathway seems to coordinate retinal neurodegeneration with multiple anabolic and catabolic processes, such as autophagy, oxidative stress, cell death, and the release of pro-inflammatory cytokines, which are closely related to chronic hyperglycemia. This review outlines the normal anatomy of the retina and how hyperglycemia can be involved in the neurodegeneration underlying this disease through over activation or inhibition of the mTOR pathway.

Indexed as

autophagydiabetic retinopathyhyperglycemiainflammationmammalian target of rapamycin (mTOR)oxidative stressreactive oxygen species (ROS)retinae

Identifiers

PMID36388931
PMCPMC9663464
OpenAlexW4308006897

What Socratic holds

Textmetadata
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 Socratic graph.