Evidence map›Paper›PMID 30629727›Full record

ArticleInvestigative ophthalmology & visual science2019

Identification of Candidate miRNA Biomarkers for Glaucoma.

Allyson G Hindle, Robrecht Thoonen, Jessica V Jasien, Robert M H Grange, Krishna Amin, Jasen Wise, Mineo Ozaki, Robert Ritch, Rajeev Malhotra, Emmanuel S Buys

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
10.0field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  7. TGF-β2/OPTN/FOXC1/BBA advances · 2026
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  17. MicroRNA expression profiling in tears and blood as predictive biomarkers for anti-VEGF treatment response in wet age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
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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

10 authors at 5 institutions in 2 countries.

Allyson G HindleAnesthesia Center for Critical Care Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, Massachusetts, United States.
Robrecht ThoonenCardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, Massachusetts, United States.
Jessica V JasienEinhorn Clinical Research Center, New York Ear Eye and Ear Infirmary of Mount Sinai, New York, New York, United States.
Robert M H GrangeAnesthesia Center for Critical Care Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, Massachusetts, United States.
Krishna AminQiagen, Frederick, Maryland, United States.
Jasen WiseQiagen, Frederick, Maryland, United States.
Mineo OzakiOzaki Eye Hospital, Miyazaki, Japan.
Robert RitchEinhorn Clinical Research Center, New York Ear Eye and Ear Infirmary of Mount Sinai, New York, New York, United States.
Rajeev MalhotraCardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, Massachusetts, United States.
Emmanuel S BuysAnesthesia Center for Critical Care Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, Massachusetts, United States.
Massachusetts General Hospital · USNew York Eye and Ear Infirmary · USQiagen (United States) · USHarvard University · USMiyata Eye Hospital · JP

Funding

The Role of Histone Deacetylase 9 in Vascular CalcificationR01HL142809 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MALHOTRA, RAJEEV · 2018 to 2022
$4.0M
Role of Soluble Guanylate Cyclase Alpha 1 in Open Angle GlaucomaR01EY022746 · NEI · MASSACHUSETTS GENERAL HOSPITAL · PI BUYS, EMMANUEL S · 2012 to 2016
$2.0M
The Role of Bone Morphogenetic Proteins in Vascular CalcificationK08HL111210 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MALHOTRA, RAJEEV · 2014 to 2018
$796k
NEI NIH HHS R01 EY022746NHLBI NIH HHS K08 HL111210NHLBI NIH HHS R01 HL142809
6 · The paper itself

Abstract

Purpose: Glaucoma, a leading cause of blindness worldwide, often remains undetected until irreversible vision loss has occurred. Treatments focus on lowering intraocular pressure (IOP), the only modifiable and readily measurable risk factor. However, IOP can vary and does not always predict disease progression. MicroRNAs (miRNAs) are promising biomarkers. They are abundant and stable in biological fluids, including plasma and aqueous humor (AqH). We aimed to identify differentially expressed miRNAs in AqH and plasma from glaucoma, exfoliation syndrome (XFS), and control subjects. Methods: Plasma and AqH from two ethnic cohorts were harvested from glaucoma or XFS (often associated with glaucoma, n = 33) and control (n = 31) patients undergoing elective surgery. A custom miRNA array measured 372 miRNAs. Molecular target prediction and pathway analysis were performed with Ingenuity Pathway Analysis (IPA) and DIANA bioinformatical tools. Results: Levels of miRNAs in plasma, a readily accessible biomarker source, correlated with miRNA levels in AqH. Twenty circulating miRNAs were at least 1.5-fold higher in glaucoma or XFS patients than in controls across two ethnic cohorts: miR-4667-5p (P = 4.1 × 10-5), miR-99b-3p (P = 4.8 × 10-5), miR-637 (P = 5.1 × 10-5), miR-4490 (P = 5.7 × 10-5), miR-1253 (P = 6.0 × 10-5), miR-3190-3p (P = 3.1 × 10-4), miR-3173-3p (P = 0.001), miR-608 (P = 0.001), miR-4725-3p (P = 0.002), miR-4448 (P = 0.002), and miR-323b-5p (P = 0.002), miR-4538 (P = 0.003), miR-3913-3p (P = 0.003), miR-3159 (P = 0.003), miR-4663 (P = 0.003), miR-4767 (P = 0.003), miR-4724-5p (P = 0.003), miR-1306-5p (P = 0.003), miR-181b-3p (P = 0.004), and miR-433-3p (P = 0.004). miR-637, miR-1306-5p, and miR-3159, in combination, allowed discrimination between glaucoma patients and control subjects (AUC = 0.91 ± 0.008, sensitivity 85.0%, specificity 87.5%). Conclusions: These results identify specific miRNAs as potential biomarkers and provide insight into the molecular processes underlying glaucoma.

Indexed as

AgedAged, 80 and overAqueous HumorAsian PeopleBiomarkersExfoliation SyndromeFemaleGene Expression ProfilingGlaucoma, Open-AngleHumansIntraocular PressureJapanMaleMicroRNAsMiddle AgedPolymerase Chain ReactionBiomarkersMicroRNAs

Identifiers

PMID30629727
PMCPMC6329203
OpenAlexW2911008581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.