Evidence mapPaperPMID 42057080Full record

Trial reportCardiovascular diabetology2026

Metabolomic signatures of hepatic steatosis reveal heterogeneity in cardiometabolic risk and responses to lifestyle interventions in type 2 diabetes: a post hoc analysis.

Xianglin Wu, Yi Ding, Feixue Shao, Qiuyu Cao, Youjin Jiang, Xiaoran Li, Yu Xu, Zhiyun Zhao, Min Xu, Jieli Lu and 11 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03839667 (Effect of Intermittent Intensive Diet Intervention and Enhanced Physical Activity on Glycemic Control in Patients With Newly Diagnosed Type 2 diabEtes), which is not on this 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.

NCT03839667 naactive not recruitingnot on this map

Effect of Intermittent Intensive Diet Intervention and Enhanced Physical Activity on Glycemic Control in Patients With Newly Diagnosed Type 2 diabEtes (IDEATE)

TypeinterventionalSponsorShanghai Jiao Tong University School of MedicineRan2019 to 2026Enrolled326ConditionsType2 Diabetes, Life StyleArmsintensive diet intervention, Enhanced physical activity intervention, Standard education
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

21 authors.

Xianglin Wu *Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi Ding *Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Feixue Shao *Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiuyu CaoDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Youjin JiangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoran LiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu XuDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiyun ZhaoDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min XuDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jieli LuDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tiange WangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuangyuan WangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hong LinDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie LiDepartment of Endocrinology, The Third People's Hospital of Datong, Datong, China.
Yan LiuDepartment of Endocrinology, The Third People's Hospital of Datong, Datong, China.
Jinli GaoSongnan Town Community Health Service Center, Baoshan District, Shanghai, China.
Guang NingDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiqing WangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bin WangLifecycle Health Management Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China. vincent_bw@126.com.ORCID http://orcid.org/0000-0002-5386-4975
Yufang BiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. byf10784@rjh.com.cn.ORCID http://orcid.org/0000-0002-4829-5915
Mian LiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. limian39@aliyun.com.ORCID http://orcid.org/0000-0001-6514-2729

Funding

Clinical Research Special Project of Shanghai Municipal Health Commission Project No. 202540013National Key Research and Development Program of China 2021YFA1301103National Key Research and Development Program of China 2023YFC2506700National Key Research and Development Program of China 2023YFC2506704National Key Research and Development Program of China 2023YFC2506706National Key Research and Development Program of China 2023ZD0508401Science and Technology Commission of Shanghai Municipality Project No. 24DZ2307200Shanghai Municipal People's Government 22Y31900300
6 · The paper itself

Abstract

backgroundHepatic steatosis measured by imaging fails to capture the variation in cardiometabolic risk and intervention response, which may be better characterized by metabolomic profiles. We aimed to construct metabolomics-based indices to define this variation.

methodsUsing data from a three-arm lifestyle intervention randomized trial in adults with type 2 diabetes (T2D) and overweight/obesity, we constructed two novel indices from untargeted plasma metabolomics and MRI-measured liver fat: a metabolomics-based liver fat score (mliver fat), and the discordance between mliver fat and MRI-measured liver fat (Δliver fat). We examined their associations with cardiometabolic traits and intervention response.

resultsBoth mliver fat and Δliver fat were associated with body composition, glucose indices, insulin sensitivity, and triglyceride, but only Δliver fat was independent of MRI-measured liver fat. Despite having comparable MRI-measured liver fat, compared with the participants with a high Δliver fat (mliver fat > MRI-measured liver fat), those with a low Δliver fat (mliver fat < MRI-measured liver fat) had a more favorable cardiometabolic profile and derived greater benefits and more sustained benefits from diet intervention, with more pronounced long-term improvements in weight, insulin sensitivity, and β-cell function.

conclusionsAmong individuals with T2D, a metabolomics-based liver fat score, particularly the discordance between metabolomic and imaging assessments, identifies systemic metabolic heterogeneity and differential responsiveness to lifestyle interventions. Future research is warranted to evaluate its performance in improving risk stratification and personalizing lifestyle intervention.

trial registrationNCT03839667.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverLiverMetabolomicsRisk Reduction BehaviorAdiposityAdultAgedBiomarkersCardiometabolic Risk FactorsDiabesityFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBiomarkersDietExerciseHepatic steatosisLiver fatMetabolomicsType 2 diabetes

Identifiers

PMID42057080
PMCPMC13274174

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.