Evidence map›Paper›PMID 34681043›Full record

ReviewBiology2021

Metabolomics in Retinal Diseases: An Update.

Xing Li, Shichang Cai, Zhiming He, James Reilly, Zhihong Zeng, Niall Strang, Xinhua Shu

Abstract readReview
In one paragraph

Review in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Ginsenoside RbChinese herbal medicines · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Acylcarnitines in Ophthalmology: Promising Emerging Biomarkers.International journal of molecular sciences · 2022
    Review
  16. Review
  17. 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

7 authors.

Xing LiSchool of Basic Medical Sciences, Shaoyang University, Shaoyang 422000, China.
Shichang CaiDepartment of Human Anatomy, School of Medicine, Hunan University of Medicine, Huaihua 418000, China.ORCID 0000-0002-6320-6423
Zhiming HeSchool of Basic Medical Sciences, Shaoyang University, Shaoyang 422000, China.
James ReillyDepartment of Biological and Biomedical Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK.
Zhihong ZengCollege of Biological and Environmental Engineering, Changsha University, Changsha 410022, China.
Niall StrangDepartment of Vision Science, Glasgow Caledonian University, Glasgow G4 0BA, UK.
Xinhua ShuSchool of Basic Medical Sciences, Shaoyang University, Shaoyang 422000, China.ORCID 0000-0003-3760-3019

Funding

Rosetrees Trust M160
6 · The paper itself

Abstract

Retinal diseases are a leading cause of visual loss and blindness, affecting a significant proportion of the population worldwide and having a detrimental impact on quality of life, with consequent economic burden. The retina is highly metabolically active, and a number of retinal diseases are associated with metabolic dysfunction. To better understand the pathogenesis underlying such retinopathies, new technology has been developed to elucidate the mechanism behind retinal diseases. Metabolomics is a relatively new "omics" technology, which has developed subsequent to genomics, transcriptomics, and proteomics. This new technology can provide qualitative and quantitative information about low-molecular-weight metabolites (M.W. < 1500 Da) in a given biological system, which shed light on the physiological or pathological state of a cell or tissue sample at a particular time point. In this article we provide an extensive review of the application of metabolomics to retinal diseases, with focus on age-related macular degeneration (AMD), diabetic retinopathy (DR), retinopathy of prematurity (ROP), glaucoma, and retinitis pigmentosa (RP).

Indexed as

age-related macular degenerationdiabetic retinopathyglaucomametabolomicsretinitis pigmentosaretinopathyretinopathy of premature

Identifiers

PMID34681043
PMCPMC8533136

What OpenQuestion 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 OpenQuestion graph.