Evidence map›Paper›PMID 41305747›Full record

Observational studyMedicine2025

Exploring the impact of dietary theobromine on endometriosis risk: Evidence from Mendelian randomization and NHANES data.

Yingqin Huang, Feng Liang, Baoli Xie, Dongmei Huang

Abstract readObservational Study
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yingqin HuangDepartment of Reproductive Medicine, Reproductive Medicine Center, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Feng LiangGynecology Department, The Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Baoli XieGynecology Department, The First People's Hospital of Nanning, Nanning, China.
Dongmei HuangDepartment of Reproductive Medicine, Reproductive Medicine Center, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.ORCID 0009-0001-2794-4912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a chronic inflammatory estrogen-dependent inflammatory disorder. Theobromine has been implicated in diverse health benefits, including anti-inflammatory and vasodilatory properties. However, the precise association between theobromine and endometriosis remains largely undetermined. To address this gap, this study sought to explore the causal relationship between theobromine exposure and the risk of endometriosis by leveraging Mendelian randomization (MR) and data from the National Health and Nutrition Examination Survey (NHANES). This study included 244 participants from the NHANES (1999-2004). Multivariable logistic regression (adjusted for age, body mass index, smoking, alcohol intake, and energy intake) assessed associations between dietary theobromine intake and endometriosis diagnosis age. Two-sample MR (16,588 cases/1,11,583 controls) used 12 theobromine-associated single-nucleotide polymorphisms (P < 5 × 10⁻⁸) as instruments, with inverse variance weighted analysis. MR assumptions were verified via F-statistics (>10), heterogeneity (Cochran's Q P > .05), and pleiotropy (MR-Egger P > .05). In the observational study (NHANES), each 1 μg/d increment in dietary theobromine intake was associated with a 1.49-year delay in endometriosis diagnosis age (β = 1.49, 95% CI: 0.02-2.95, P = .048) after multivariable adjustment. In the MR analysis, the inverse variance weighted method showed a significant causal effect estimate of β = -0.1057 (95% CI: -0.2098 to -0.0016, P = .045) for the effect of theobromine on endometriosis risk. Sensitivity analyses confirmed robustness against pleiotropy and heterogeneity. This study suggests a potential causal relationship between dietary theobromine intake and a modestly reduced risk of endometriosis, providing preliminary insights into the potential protective effects of theobromine against the development of this condition. However, further investigations are necessary to validate these findings and to understand the underlying biological mechanisms.

Indexed as

DietEndometriosisTheobromineAdultFemaleHumansMendelian Randomization AnalysisMiddle AgedNutrition SurveysPolymorphism, Single NucleotideRisk FactorsTheobrominedietary intakeendometriosisMendelian randomizationNHANEStheobromine

Identifiers

PMID41305747
PMCPMC12643750

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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.