Evidence map›Paper›PMID 28916333›Full record

Observational studyOphthalmology2018

Human Plasma Metabolomics Study across All Stages of Age-Related Macular Degeneration Identifies Potential Lipid Biomarkers.

Inês Laíns, Rachel S Kelly, John B Miller, Rufino Silva, Demetrios G Vavvas, Ivana K Kim, Joaquim N Murta, Jessica Lasky-Su, Joan W Miller, Deeba Husain

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
8.2field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Metabolomics in Age-Related Macular Degeneration: A Systematic Review.Investigative ophthalmology & visual science · 2020
    Pooled it
  4. Association of age-related macular degeneration with exposome related metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. The roles of glycerophospholipids in the aging retina and age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Identification of the Metabolic Signature of Aging Retina.Translational vision science & technology · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Workshop report - interdisciplinary metabolomic epidemiology: the pathway to clinical translation.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Inês LaínsRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts; Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal; Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
Rachel S KellySystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
John B MillerRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Rufino SilvaFaculty of Medicine, University of Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal; Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
Demetrios G VavvasRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Ivana K KimRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Joaquim N MurtaFaculty of Medicine, University of Coimbra, Coimbra, Portugal; Association for Innovation and Biomedical Research on Light, Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal; Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
Jessica Lasky-SuSystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Joan W MillerRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Deeba HusainRetina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts. Electronic address: Deeba_Husain@meei.harvard.edu.
Massachusetts Eye and Ear Infirmary · USBrigham and Women's Hospital · USHospitais da Universidade de Coimbra · PT

Funding

P30 Core Grant for Vision ResearchP30EY014104 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Eric A Pierce · 2002 to 2026
$15.1M
Integrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0M
NEI NIH HHS P30 EY014104NHLBI NIH HHS R01 HL123915
6 · The paper itself

Abstract

purposeTo characterize the plasma metabolomic profile of patients with age-related macular degeneration (AMD) using mass spectrometry (MS).

designCross-sectional observational study.

participantsWe prospectively recruited participants with a diagnosis of AMD and a control group (>50 years of age) without any vitreoretinal disease.

methodsAll participants underwent color fundus photography, used for AMD diagnosis and staging, according to the Age-Related Eye Disease Study classification scheme. Fasting blood samples were collected and plasma was analyzed by Metabolon, Inc. (Durham, NC), using ultrahigh-performance liquid chromatography (UPLC) and high-resolution MS. Metabolon's hardware and software were used to identify peaks and control quality. Principal component analysis and multivariate regression were performed to assess differences in the metabolomic profiles of AMD patients versus controls, while controlling for potential confounders. For biological interpretation, pathway enrichment analysis of significant metabolites was performed using MetaboAnalyst.

main outcome measuresThe primary outcome measures were levels of plasma metabolites in participants with AMD compared with controls and among different AMD severity stages.

resultsWe included 90 participants with AMD (30 with early AMD, 30 with intermediate AMD, and 30 with late AMD) and 30 controls. Using UPLC and MS, 878 biochemicals were identified. Multivariate logistic regression identified 87 metabolites with levels that differed significantly between AMD patients and controls. Most of these metabolites (82.8%; n = 72), including the most significant metabolites, belonged to the lipid pathways. Analysis of variance revealed that of the 87 metabolites, 48 (55.2%) also were significantly different across the different stages of AMD. A significant enrichment of the glycerophospholipids pathway was identified (P = 4.7 × 10

conclusionsParticipants with AMD have altered plasma metabolomic profiles compared with controls. Our data suggest that the most significant metabolites map to the glycerophospholipid pathway. These findings have the potential to improve our understanding of AMD pathogenesis, to support the development of plasma-based metabolomics biomarkers of AMD, and to identify novel targets for treatment of this blinding disease.

Indexed as

AgedBiomarkersCross-Sectional StudiesFemaleHumansLipidsMaleMass SpectrometryMetabolomicsMiddle AgedProspective StudiesSeverity of Illness IndexWet Macular DegenerationBiomarkersLipids

Identifiers

PMID28916333
PMCPMC8077680
OpenAlexW2756003281

What OpenQuestion holds

Textmetadata
LicenceTDM
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.