Evidence map›Paper›PMID 34831363›Full record

ArticleCells2021

Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients.

Sabrina L Mitchell, Chunyu Ma, William K Scott, Anita Agarwal, Margaret A Pericak-Vance, Jonathan L Haines, Dean P Jones, Karan Uppal, Milam A Brantley

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  17. Acylcarnitines in Ophthalmology: Promising Emerging Biomarkers.International journal of molecular sciences · 2022
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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

9 authors at 4 institutions in 1 country.

Sabrina L MitchellMedical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.ORCID 0000-0001-7930-2447
Chunyu MaDepartment of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
William K ScottJohn P. Hussman Institute for Human Genomics, School of Medicine, University of Miami Miller, Miami, FL 33136, USA.
Anita AgarwalMedical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.
Margaret A Pericak-VanceJohn P. Hussman Institute for Human Genomics, School of Medicine, University of Miami Miller, Miami, FL 33136, USA.
Jonathan L HainesDepartment of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
Dean P JonesDepartment of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Karan UppalDepartment of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Milam A BrantleyMedical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.
Emory University · USVanderbilt University Medical Center · USUniversity of Miami · USCase Western Reserve University · US

Funding

Unifying Genetics Epidemiology of Macular DegenerationR01EY012118 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI AGARWAL, ANITA, HAINES, JONATHAN L · 2006 to 2015
$12.2M
Metabolomic and Genetic Interactions in Age-Related Macular DegenerationR01EY022618 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRANTLEY, MILAM A · 2013 to 2017
$2.3M
NEI NIH HHS R01EY012118NEI NIH HHS R01EY22618
6 · The paper itself

Abstract

To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the

Indexed as

MetabolomicsAgedCarnitineCase-Control StudiesDiscriminant AnalysisFemaleHumansLeast-Squares AnalysisLinear ModelsLipidsMacular DegenerationMaleMetabolic Networks and PathwaysMetabolomeMiddle AgedNeovascularization, PathologicacylcarnitineCarnitineLipidsacylcarnitinesage-related macular degenerationcarnitine shuttleIAMDmetabolomicsNVAMDphospholipids

Identifiers

PMID34831363
PMCPMC8624113
OpenAlexW3212921993

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.