Evidence map›Paper›PMID 37816982›Full record

ArticleDiabetologia2024

The metabolic potential of inflammatory and insulinaemic dietary patterns and risk of type 2 diabetes.

Dong Hoon Lee, Qi Jin, Ni Shi, Fenglei Wang, Alaina M Bever, Liming Liang, Frank B Hu, Mingyang Song, Oana A Zeleznik, Xuehong Zhang and 11 more

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03364582 (Dietary Patterns, Metabolomics and Colorectal Cancer Risk and Mortality in the Nurses' Health Study and Health Professionals Follow-Up Study), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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.

NCT03364582 completednot on this map

Dietary Patterns, Metabolomics and Colorectal Cancer Risk and Mortality in the Nurses' Health Study and Health Professionals Follow-Up Study

TypeobservationalSponsorOhio State University Comprehensive Cancer CenterRan2016 to 2022Enrolled173,230ConditionsColorectal Cancer, MortalityArmsObserved dietary pattern
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. History of Breastfeeding in Relation to Circulating Inflammatory and Metabolic Biomarkers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  9. Article
  10. Recent advances in precision nutrition and cardiometabolic diseases.Revista espanola de cardiologia (English ed.) · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. 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

21 authors at 6 institutions in 2 countries.

Dong Hoon LeeDepartment of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea.
Qi JinDepartment of Exercise and Nutrition Sciences, Moyes College of Education, Weber State University, Ogden, UT, USA.
Ni ShiComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Fenglei WangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Alaina M BeverDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Oana A ZeleznikChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Xuehong ZhangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Amit JoshiClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Kana WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Justin Y JeonDepartment of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
Andrew T ChanChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
A Heather EliassenDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Clary ClishBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Steven K ClintonComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Fred K TabungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA. fred.tabung@osumc.edu.
Harvard University · USBrigham and Women's Hospital · USBroad Institute · USThe Ohio State University · USWeber State University · USYonsei University · KR

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
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
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
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Pro-inflammatory and Hyper-insulinemic Dietary Patterns and Colorectal Cancer Risk: Role of the MetabolomeR00CA207736 · NCI · OHIO STATE UNIVERSITY · PI TABUNG, FRED KINYUY · 2018 to 2020
$747k
Chronic Inflammation and Type 2 Diabetes: A Multi-omics ApproachR00DK122128 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JUN · 2022 to 2024
$723k
Proinflammatory and hyperinsulinemic dietary patterns and colorectal cancer risk: role of the metabolomeK99CA207736 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TABUNG, FRED KINYUY · 2016 to 2017
$276k
NCI NIH HHS K99 CA207736NCI NIH HHS P01 CA087969NCI NIH HHS R00 CA207736NCI NIH HHS R01 CA050385NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NIDDK NIH HHS R00 DK122128NIH HHS P01 CA87969NIH HHS R00 CA207736NIH HHS R01 CA50385NIH HHS U01 CA167552NIH HHS U01 CA176726NIH HHS UM1 CA186107
6 · The paper itself

Abstract

aims/hypothesisDiets with higher inflammatory and insulinaemic potential have been associated with an increased risk of type 2 diabetes. However, it remains unknown whether plasma metabolomic profiles related to proinflammatory/hyperinsulinaemic diets and to inflammatory/insulin biomarkers are associated with type 2 diabetes risk.

methodsWe analysed 6840 participants from the Nurses' Health Study and Health Professionals Follow-up Study to identify the plasma metabolome related to empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), four circulating inflammatory biomarkers and C-peptide. Dietary intakes were assessed using validated food frequency questionnaires. Plasma metabolomic profiling was conducted by LC-MS/MS. Metabolomic signatures were derived using elastic net regression. Multivariable Cox regression was used to examine associations of the metabolomic profiles with type 2 diabetes risk.

resultsWe identified 27 metabolites commonly associated with both EDIP and inflammatory biomarker z score and 21 commonly associated with both EDIH and C-peptide. Higher metabolomic dietary inflammatory potential (MDIP), reflecting higher metabolic potential of both an inflammatory dietary pattern and circulating inflammatory biomarkers, was associated with higher type 2 diabetes risk. The HR comparing highest vs lowest quartiles of MDIP was 3.26 (95% CI 2.39, 4.44). We observed a strong positive association with type 2 diabetes risk for the metabolomic signature associated with EDIP-only (HR 3.75; 95% CI 2.71, 5.17) or inflammatory biomarkers-only (HR 4.07; 95% CI 2.91, 5.69). In addition, higher metabolomic dietary index for hyperinsulinaemia (MDIH), reflecting higher metabolic potential of both an insulinaemic dietary pattern and circulating C-peptide, was associated with greater type 2 diabetes risk (HR 3.00; 95% CI 2.22, 4.06); further associations with type 2 diabetes were HR 2.79 (95% CI 2.07, 3.76) for EDIH-only signature and HR 3.89 (95% CI 2.82, 5.35) for C-peptide-only signature. The diet scores were significantly associated with risk, although adjustment for the corresponding metabolomic signature scores attenuated the associations with type 2 diabetes, these remained significant. CONCLUSIONS/

interpretationThe metabolomic signatures reflecting proinflammatory or hyperinsulinaemic diets and related biomarkers were positively associated with type 2 diabetes risk, supporting that these dietary patterns may influence type 2 diabetes risk via the regulation of metabolism.

Indexed as

Diabetes Mellitus, Type 2HyperinsulinismBiomarkersChromatography, LiquidC-PeptideDietFollow-Up StudiesHumansRisk FactorsTandem Mass SpectrometryBiomarkersC-PeptideDietary patternHyperinsulinaemiaInflammationMetabolomicsType 2 diabetes

Identifiers

PMID37816982
PMCPMC11555568
OpenAlexW4387477904

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Registered trials

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.