Evidence map›Paper›PMID 41960322›Full record

ArticleResearch square2026

Epidemiological and Multi-Omics Investigation of Phytosterol Intake and Type 2 Diabetes Risk.

Frank Hu, Fenglei Wang, Anne-Julie Tessier, Andrea Glenn, Yuxi Liu, Marta Guasch-Ferré, Deirdre Tobias, A Heather Eliassen, JoAnn Manson, Clary Clish and 9 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

19 authors.

Frank HuHarvard T. H. Chan School of Public Health.ORCID 0000-0002-8233-6274
Fenglei WangHarvar T.H. Chan School of Public Health.ORCID 0000-0002-3850-2482
Anne-Julie TessierHarvard T. H. Chan School of Public Health.
Andrea GlennHarvard T. H. Chan School of Public Health.
Yuxi LiuBrigham and Women's Hospital and Harvard Medical School.
Marta Guasch-FerréUniversity of Copenhagen.ORCID 0000-0001-8525-1404
Deirdre TobiasBrigham and Women's Hospital, Harvard Medical School / Harvard TH Chan School of Public Health.ORCID 0000-0003-0020-9552
A Heather EliassenBrigham and Women's Hospital and Harvard Medical School.ORCID 0000-0002-3961-6609
JoAnn MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School.ORCID 0000-0002-9426-7595
Clary ClishBroad Institute of Harvard and MIT.ORCID 0000-0001-8259-9245
Kyu Ha LeeHarvard T. H. Chan School of Public Health.ORCID 0000-0002-5313-8375
Iris ShaiBen-Gurion University of the Negev.
Qibin QiAlbert Einstein College of Medicine.ORCID 0000-0002-2687-1758
Robert BurkAlbert Einstein College of Medicine.ORCID 0000-0002-8376-8458
Liming LiangHarvard T.H. Chan School of Public Health.ORCID 0000-0001-8261-3174
Qi SunHarvard T.H. Chan School of Public Health.ORCID 0000-0002-8480-1563
Robert KaplanDepartments of Medicine, Epidemiology and Population Health, Albert Einstein College of Medicine.
Walter WillettHarvard TH Chan School of Public Health.ORCID 0000-0003-1458-7597
Dong WangHarvard Medical School & Brigham and Women's Hospital.ORCID 0000-0002-0897-3048

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Validity of Diet and Activity Measures in MenU01CA152904 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI RIMM, ERIC B, STAMPFER, MEIR · 2010 to 2013
$7.2M
Epidemiology of diet, metabolism and non-alcoholic fatty liver disease in Hispanic/Latino adultsR01DK134672 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BURK, ROBERT D, KAPLAN, ROBERT C · 2023 to 2025
$2.1M
Microbiome and AD/ADRD Risk in SOLR01AG085320 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI Robert C Kaplan, Natalia Palacios · 2025 to 2026
$1.6M
NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA152904NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL088521NHLBI NIH HHS U01 HL145386NIA NIH HHS R01 AG085320NIDDK NIH HHS R01 DK134672
6 · The paper itself

Abstract

Objectives: Limited evidence exists on the association between dietary phytosterol intake and the risk of type 2 diabetes (T2D). We aimed to investigate this association and identify the underlying plasma metabolic, metabolomic, and gut microbial features. Methods: We followed 204,633 participants (79% women) from three large US prospective cohorts for up to 36 years. Validated food-frequency questionnaires were used to estimate dietary intake of total phytosterol and three subtypes: β-sitosterol, campesterol, and stigmasterol. We applied Cox proportional hazards models to evaluate their associations with T2D risk. In a subset of 39,879 participants with plasma metabolic biomarkers and 9,528 participants with plasma metabolomics data, we examined the association between phytosterol intake and metabolic biomarkers related to insulinemia, glycemia, lipids, and inflammation, as well as T2D-related metabolomic profiles. Additionally, we explored the gut microbial species and enzymes involved in these associations in a subset of 465 participants with gut microbiome data. Results: During follow-up, we documented 20,708 incident T2D cases. After adjustment for covariates, higher intake of total phytosterol was associated with a lower T2D risk (HR comparing extreme quintiles = 0.87, 95% CI: 0.82, 0.92; P trend<0.001). Similar associations were observed for β-sitosterol (HR=0.86, 95% CI: 0.81, 0.91; P trend<0.001) and campestrol (HR=0.89, 95% CI: 0.84, 0.94; P trend<0.001), but not for stigmasterol.β-sitosterol and campestrol were also associated with favorable plasma metabolic profiles, such as lower levels of C-reactive protein, leptin, and C-peptide, as well as beneficial T2D-relevant metabolomic profiles. Moreover, we identified several gut microbial species, and their enzymes involved in these associations. For example, Conclusions: A higher intake of phytosterols, particularly β-sitosterol and campesterol, was associated with a lower risk of T2D, with consistent findings across epidemiological and multi-omics analyses. These findings support the role of a healthy plant-based dietary pattern rich in phytosterol-containing foods such as whole grains, nuts, seeds, fruits, vegetables, and vegetable oils in lowering T2D risk.

Identifiers

PMID41960322
PMCPMC13060520

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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.