Evidence mapPaperPMID 37539744Full record

ArticleMolecular medicine reports2023

Metabolomic profiling of a neurodegenerative retina following optic nerve transection.

Jun-Ya Zhu, Xi-Sen Ni, Xiao-Yan Han, Sha Liu, Yu-Ke Ji, Jin Yao, Biao Yan

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  4. 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

7 authors at 2 institutions in 1 country.

Jun-Ya Zhu *Department of Ophthalmology and Optometry, The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Xi-Sen Ni *Department of Ophthalmology and Optometry, The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Xiao-Yan Han *Eye Institute and Department of Ophthalmology, Eye and Ear, Nose and Throat Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200030, P.R. China.
Sha LiuDepartment of Ophthalmology and Optometry, The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Yu-Ke JiDepartment of Ophthalmology and Optometry, The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Jin YaoDepartment of Ophthalmology and Optometry, The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Biao YanEye Institute and Department of Ophthalmology, Eye and Ear, Nose and Throat Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200030, P.R. China.
Nanjing Medical University · CNState Key Laboratory of Medical Neurobiology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The degeneration of retinal ganglion cells (RGCs) often causes irreversible vision impairment. Prevention of RGC degeneration can prevent or delay the deterioration of visual function. The present study aimed to investigate retinal metabolic profiles following optic nerve transection (ONT) injury and identify the potential metabolic targets for the prevention of RGC degeneration. Retinal samples were dissected from ONT group and non‑ONT group. The untargeted metabolomics were carried out using liquid chromatography‑tandem mass spectrometry. The involved pathways and biomarkers were analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and MetaboAnalyst 5.0. In the ONT group, 689 disparate metabolites were detected, including lipids and lipid‑like molecules. A total of 122 metabolites were successfully annotated and enriched in 50 KEGG pathways. Among them, 'sphingolipid metabolism' and 'primary bile acid biosynthesis' were identified involved in RGC degeneration. A total of five metabolites were selected as the candidate biomarkers for detecting RGC degeneration with an AUC value of 1. The present study revealed that lipid‑related metabolism was involved in the pathogenesis of retinal neurodegeneration. Taurine, taurochenodesoxycholic acid, taurocholic acid (TCA), sphingosine, and galabiosylceramide are shown as the promising biomarkers for the diagnosis of RGC degeneration.

Indexed as

Optic Nerve InjuriesBiomarkersHumansLipidsMetabolomicsOptic NerveRetinaBiomarkersLipidsbiomarkermetabolomicsoptic nerve transectionretinal neurodegeneration

Identifiers

PMID37539744
PMCPMC10433715
OpenAlexW4385549115

What Socratic holds

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Registered trials

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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.