Evidence map›Paper›PMID 40302205›Full record

ArticleJournal of diabetes investigation2025

Causal relationship between body mass index and insulin resistance: Linear and nonlinear Mendelian randomization study in a Japanese population.

Noriyuki Ishida, Sei Harada, Ryota Toki, Aya Hirata, Minako Matsumoto, Naoko Miyagawa, Miho Iida, Shun Edagawa, Atsuko Miyake, Kazuyo Kuwabara and 10 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Noriyuki IshidaBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2826-6567
Sei HaradaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2666-4932
Ryota TokiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Aya HirataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Minako MatsumotoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Miho IidaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Shun EdagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Atsuko MiyakeDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Kazuyo KuwabaraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Takuma ShibukiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Suzuka KatoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Kazuharu ArakawaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Kengo KinoshitaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Mika Sakurai-YagetaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Gen TamiyaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kengo NagashimaBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4529-9045
Hirokazu MuraokaCLINIC FOR Tamachi, Tokyo, Japan.
Yasunori SatoBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
Toru TakebayashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.

Funding

Japan Science and Technology Agency JPMJMS2023Japan Society for the Promotion of Science JP15H04778Japan Society for the Promotion of Science JP16H06277Japan Society for the Promotion of Science JP18H04079Japan Society for the Promotion of Science JP24390168Japan Society for the Promotion of Science JP25670303Program on Open Innovation Platform with Enterprises, Research Institute and Academia JPMJOP1842
6 · The paper itself

Abstract

AIMS/

introductionObesity is a known risk factor for several chronic diseases, including type 2 diabetes mellitus, which results from increased insulin resistance and impaired insulin secretion. However, the association between obesity and insulin resistance in Asian populations has not yet been fully elucidated. Therefore, we aimed to investigate the causal relationship between body mass index (BMI) and glycemic traits using Mendelian randomization (MR). MATERIALS AND

methodsWe performed individual-level MR analyses using genetic risk scores based on BMI-related variants in 3,745 individuals without diabetes mellitus from a Japanese cohort. We examined heterogeneity through subgroup analyses based on potential modifiers and determined the shape of the causal relationship using nonlinear MR analyses to further assess the impact of BMI on the homeostasis model assessment of insulin resistance (HOMA-IR).

resultsMR analyses revealed a significant positive association between BMI and HOMA-IR (β = 0.077; 95% confidence interval, 0.014-0.141; P = 0.016; outcome variable was log-transformed and standardized). Additional analyses revealed heterogeneity among subgroups differentiated by age, sex, lifestyle habits, and cardiometabolic traits. Nonlinear MR analyses suggested a potential J-shaped causal relationship between BMI and HOMA-IR.

conclusionsOur findings demonstrated that obesity and low BMI may contribute to increased insulin resistance. Furthermore, the impact of BMI on insulin resistance could vary owing to effect modification. Managing BMI is crucial in individuals at high risk of increased insulin resistance and may have important implications for preventing type 2 diabetes, especially given the low insulin secretory capacity observed in East Asian populations.

Indexed as

Body Mass IndexDiabetes Mellitus, Type 2Insulin ResistanceMendelian Randomization AnalysisObesityAdultAgedEast Asian PeopleFemaleHumansJapanMaleMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsBody mass indexInsulin resistanceMendelian randomization analysis

Identifiers

PMID40302205
PMCPMC12209510

What OpenQuestion holds

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Registered trials

None linked

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.