Evidence map›Paper›PMID 39930207›Full record

ReviewAdvances in experimental medicine and biology2025

The Connection Between Cellular Metabolism and Retinal Disease.

Larissa P Govers, Christian Grimm

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Retinal connections to migraine.Frontiers in neurology
    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.

Larissa P GoversDepartment of Ophthalmology, Laboratory for Retinal Cell Biology, University Hospital Zurich, University of Zurich, Schlieren, Switzerland.
Christian GrimmDepartment of Ophthalmology, Laboratory for Retinal Cell Biology, University Hospital Zurich, University of Zurich, Schlieren, Switzerland. cgrimm@opht.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina is one of the most metabolically active tissues in the human body and has its own complex metabolic environment as the different cell types in this tissue are interconnected to maintain a healthy retinal homeostasis. Any disturbances in the homeostatic balance may have a severe impact on retinal function affecting vision. About 341 genes are listed in the RetNet database as being causative for monogenic inherited retinal diseases. By intersecting this list with the Mammalian Metabolic Enzyme Database, we identified 28 metabolic genes that can result in diseases such as retinitis pigmentosa, Leber congenital amaurosis, or optic atrophy when mutated. Alongside inherited retinal diseases, metabolism also plays a prominent role in acquired retinal diseases. Metabolomics studies have been performed on patients with age-related macular degeneration, diabetic retinopathy, and glaucoma revealing dysregulated metabolic pathways, such as lipid, amino acid, and purine metabolism, in the onset of disease. Although there are distinct pathophysiological differences between inherited and acquired retinal disorders, diving deeper into the role of metabolism and how metabolic dysfunction may overlap with different pathologies, could give us indications on how to design approaches to normalize the homeostatic balance in the retina as treatment options to protect vision.

Indexed as

RetinaRetinal DiseasesAnimalsHumansMetabolic Networks and PathwaysMetabolomicsAge-related macular degenerationDiabetic retinopathyGlaucomaInherited retinal diseasesLipidsMetabolism

Identifiers

What OpenQuestion holds

Textmetadata
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.