Evidence mapPaperPMID 40640923Full record

ArticleNutrition & metabolism2025

Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses.

Zhang Shengnan, Wang Tao, Zhang Yanan, Sun Chao

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
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

4 authors.

Zhang ShengnanDepartment of Ophthalmology, Zibo Central Hospital, Zibo, Shandong, China.
Wang TaoSanitary Inspection Center, Zibo Center for Disease Control and Prevention, Zibo, China.
Zhang YananZibo Digital Agriculture and Rural Development Center, Zibo, China.
Sun ChaoDepartment of Ophthalmology, Zibo Central Hospital, Zibo, Shandong, China. drsunchao24@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlaucoma is a leading cause of irreversible blindness, influenced by systemic and lifestyle factors. This study investigates the causal relationships between dietary habits, sleep traits, amino acids, metabolites, and inflammatory factors with glaucoma subtypes using Mendelian randomization (MR) and validates findings through cross-sectional analysis.

methodsMR analysis assessed the causal effects of 226 dietary factors, 11 sleep traits, 20 amino acids, 1400 metabolites, and 91 inflammatory factors on five glaucoma subtypes (NTG, POAG, PACG, NVG, XFG). Mediation MR analysis explored the role of amino acids and inflammatory factors in these relationships. Validation was conducted using NHANES cross-sectional data.

resultsHigh-fat, high-calorie diets increased glaucoma risk, while antioxidant-rich foods and better sleep quality reduced it. Key mediators included proline, tyrosine, IL-1 A, and PDL1. NHANES data confirmed lower intake of vitamins A and C, higher water consumption among glaucoma patients, and significant sleep-related associations.

conclusionOur findings highlight the role of balanced diets and optimized sleep patterns in glaucoma prevention and management. This study provides evidence for targeted lifestyle interventions focusing on metabolic and inflammatory pathways to mitigate glaucoma risk.

Indexed as

Amino acidsDietary habitsGlaucomaInflammatory factorsLifestyle interventionsMendelian randomizationMetabolomicsNeuroprotection.NHANESSleep traits

Identifiers

PMID40640923
PMCPMC12243165

What Socratic holds

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Registered trials

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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 Socratic graph.