Evidence map›Paper›PMID 40278361›Full record

ArticleMetabolites2025

Plasma and Urine Metabolites Associated with Microperimetric Retinal Sensitivity in Age-Related Macular Degeneration.

Krupa Sourirajan, Kevin Mendez, Ines Lains, Gregory Tsougranis, Haemin Kang, Georgiy Kozak, Augustine Bannerman, Roshni Bhat, Hanna Choi, Archana Nigalye and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Krupa SourirajanMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0009-0001-5501-4413
Kevin MendezMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Ines LainsMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-8136-4724
Gregory TsougranisMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Haemin KangMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Georgiy KozakMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Augustine BannermanMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Roshni BhatMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Hanna ChoiMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Archana NigalyeMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Ivana K KimMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Demetrios G VavvasMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-8622-6478
David M WuMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0001-5456-5945
Liming LiangSystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02114, USA.
John B MillerMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0003-0109-9738
Joan W MillerMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Jessica Lasky-SuChanning Lab, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02114, USA.
Deeba HusainMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.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
Mechanistic insights into asthma pathogenesis through the integration of asthma genes, risk exposures, and metabolomicsR01HL141826 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2018 to 2021
$3.4M
NEI NIH HHS R01 EY030088NHLBI NIH HHS R01 HL123915NHLBI NIH HHS R01 HL141826NIH/ NEI R01EY030088
6 · The paper itself

Abstract

backgroundBest-corrected visual acuity (BCVA) is the current gold standard of retinal function measurement but is not affected in early and intermediate forms of age-related macular degeneration (AMD). Increasing evidence suggests that microperimetry is a sensitive measure of visual function. This study sought to analyze the associations between plasma and urine metabolites and microperimetry in AMD.

methodsWe included data on 363 eyes (95 controls, 268 AMD). Microperimetry was performed in patients with or without AMD using the Macular Integrity Assessment (MAIA) microperimetry system, employing a 37-point full-threshold protocol. Plasma and urine samples were analyzed via ultra-high-performance liquid chromatography-mass spectrometry. Multilevel mixed-effects linear models were used to assess associations between the metabolites and retinal sensitivity. Statistical significance was determined by considering the number of independent tests that accounted for 80% of the variance (ENT80).

resultsWe identified two plasma and seven urine metabolites, which were significantly associated with mean retinal sensitivity in AMD, and the key results include metabolites in the lysine metabolism pathway.

conclusionsTo our knowledge, we present the first assessment of the associations between plasma and urinary metabolites and retinal microperimetry sensitivity in AMD. This work can reveal more insight into the pathogenesis of AMD.

Indexed as

age-related macular degenerationAMDmetabolomicsmicroperimetryplasmaurine

Identifiers

PMID40278361
PMCPMC12029753

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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.