Evidence map›Paper›PMID 38802406›Full record

ArticleScientific reports2024

Metabolomic-derived endotypes of age-related macular degeneration (AMD): a step towards identification of disease subgroups.

Kevin Mendez, Ines Lains, Rachel S Kelly, João Gil, Rufino Silva, John Miller, Demetrios G Vavvas, Ivana Kim, Joan Miller, Liming Liang and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

12 authors.

Kevin Mendez *Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0002-8832-2607
Ines Lains *Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0002-8136-4724
Rachel S KellyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3023-1822
João GilFaculty of Medicine, University of Coimbra, Coimbra, Portugal.ORCID 0000-0002-5953-8249
Rufino SilvaFaculty of Medicine, University of Coimbra, Coimbra, Portugal.ORCID 0000-0001-8676-0833
John MillerRetina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0003-0109-9738
Demetrios G VavvasRetina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0002-8622-6478
Ivana KimRetina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0003-0310-6129
Joan MillerRetina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA.ORCID 0000-0003-2046-3996
Liming LiangProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-8261-3174
Jessica A Lasky-Su *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-6236-4705
Deeba Husain *Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, USA. Deeba_Husain@meei.harvard.edu.ORCID 0000-0002-8494-0950

Funding

Integrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0M
Metabolomics a Novel Tool for Investigating the Pathogenesis of Age-related Macular DegenerationR01EY030088 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Deeba Husain · 2020 to 2026
$3.5M
Multi-Omic Endotyping of AsthmaK01HL146980 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KELLY, RACHEL SABINE · 2019 to 2023
$891k
NEI NIH HHS R01 EY030088NHLBI NIH HHS K01 HL146980NHLBI NIH HHS R01 HL123915NIH HHS R01HL123915NIH HHS RO1EY030088
6 · The paper itself

Abstract

Age-related macular degeneration (AMD) is a leading cause of blindness worldwide, with a complex pathophysiology and phenotypic diversity. Here, we apply Similarity Network Fusion (SNF) to cluster AMD patients into putative metabolomics-derived endotypes. Using a discovery cohort of 163 AMD patients from Boston, US, and a validation cohort of 214 patients from Coimbra, Portugal, we identified four distinct metabolomics-derived endotypes with varying retinal structural and functional characteristics, confirmed across both cohorts. Patients clustered into Endotype 1 exhibited a milder form of AMD and were characterized by low levels of amino acids in specific metabolic pathways. Meanwhile, patients clustered into both Endotype 3 and 4 were associated with more severe AMD and exhibited low levels of fatty acid metabolites and elevated levels of sphingomyelins and fatty acid metabolites, respectively. These preliminary findings indicate that metabolomics-derived endotyping may offer a refined strategy for categorizing AMD patients based on their specific pathophysiological underpinnings, rather than relying solely on traditional observational clinical indicators.

Indexed as

Macular DegenerationMetabolomicsAgedAged, 80 and overCohort StudiesFemaleHumansMaleMetabolomeMiddle AgedPortugalAge-related macular degenerationAMDEndotypingMetabo-endotypesMetabolomics

Identifiers

PMID38802406
PMCPMC11130126

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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.