Evidence map›Paper›PMID 38470329›Full record

ArticleInvestigative ophthalmology & visual science2024

Tandem Mass Tag LC-MS/MS of Aqueous Humor From Individuals With Type 2 Diabetes Without Retinopathy Reveals Early Dysregulation of Synaptic Proteins.

Mira M Sachdeva, Yoonjung Lee, Eda K Unlu, Neslihan D Koseoglu, Eumee Cha, Jiangxia Wang, Christina R Prescott, Allen O Eghrari, Chan Hyun Na

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  5. 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

9 authors at 2 institutions in 1 country.

Mira M SachdevaRetina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Yoonjung LeeNeurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Eda K UnluRetina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Neslihan D KoseogluRetina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Eumee ChaRetina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Jiangxia WangDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States.
Christina R PrescottCornea Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Allen O EghrariCornea Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Chan Hyun NaNeurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Fourier Transform Orbitrap Fusion Lumos Tribrid Mass Spectrometer with ETDS10OD021844 · OD · JOHNS HOPKINS UNIVERSITY · PI PANDEY, AKHILESH · 2016 to 2016
$1.1M
Molecular Mechanisms of Diabetic Retinal Ganglion Cell Dysfunction and Neurovascular Crosstalk in Early Diabetic RetinopathyK08EY029766 · NEI · JOHNS HOPKINS UNIVERSITY · PI SACHDEVA, MIRA MENON · 2019 to 2023
$997k
Doris Duke Charitable Foundation 2020084NEI NIH HHS K08 EY029766NIH HHS S10 OD021844
6 · The paper itself

Abstract

Purpose: An early neurodegenerative component of diabetic retinal disease (DRD) that precedes the vascular findings of clinically diagnosed diabetic retinopathy (DR) is increasingly being recognized. However, the relevant molecular mechanisms and biomarkers for early DRD are poorly defined. The purpose of this study was to uncover novel potential mediators of early diabetic retinal neuronal dysfunction through analysis of the aqueous fluid proteome in preclinical DR. Methods: Aqueous fluid was collected from subjects with type 2 diabetes mellitus (DM) but no clinical DR and from nondiabetic controls undergoing routine cataract surgery. Preoperative spectral-domain optical coherence tomography of the macula was obtained. Tandem mass tag LC-MS/MS was performed to identify proteins differentially present in diabetic and control aqueous fluid, and proteins with >50% change and P < 0.05 were considered significant. Selected results were validated with western blot of human aqueous fluid samples. Results: We identified decreased levels of proteins implicated in neuronal synapse formation and increased levels of inflammatory proteins in the aqueous fluid from patients with type 2 DM but no DR compared with controls. Of the differentially present synaptic proteins that we identified and confirmed with western blot, the majority have not previously been linked with DRD. Conclusions: The proteomic profile of aqueous fluid from individuals with type 2 DM but no DR suggests that retinal neuronal dysfunction and inflammation represent very early events in the pathophysiology of DRD. These findings support the concept that diabetic retinal neurodegeneration precedes vascular pathology and reveal novel potential mediators and/or biomarkers warranting further investigation.

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyRetinal DiseasesAqueous HumorBiomarkersChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryProteomicsTandem Mass SpectrometryBiomarkers

Identifiers

PMID38470329
PMCPMC10939138
OpenAlexW4392702616

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.