Evidence mapPaperPMID 40907494Full record

ArticleCell reports. Medicine2025

Dynamic multi-omics profiling of islet and gut hormonal secretion and peripheral crosstalk in response to various nutrient loads.

Jiachen Wang, Ling Liu, Hechun Liu, Yu Qian, Sijie Zhang, Shuai Zheng, Hemin Jiang, Yue Zhou, Xiaoliang Cheng, Qi Fu and 2 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 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. Review
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

12 authors.

Jiachen WangDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Ling LiuDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Hechun LiuDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yu QianDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Sijie ZhangDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Shuai ZhengDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Hemin JiangDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yue ZhouNorthwest University Qlife Precision Medicine Center, Xi'an, Shaanxi, China.
Xiaoliang ChengNorthwest University Qlife Precision Medicine Center, Xi'an, Shaanxi, China.
Qi FuDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China. Electronic address: drfuqi@njmu.edu.cn.
Hao DaiDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China. Electronic address: drdaihao@njmu.edu.cn.
Tao YangDepartment of Endocrinology & Metabolism, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China; The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: yangt@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postprandial metabolism is a complex and dynamic process involving diverse biomolecules, with islet and gut hormones playing crucial roles. However, how these hormones interact with biomolecules after nutrient intake and coordinate with peripheral insulin resistance (IR) remains elusive. This study characterizes postprandial multi-omics dynamics under mixed meals and four distinct macronutrient loads, investigating hormone secretion patterns, associated responsive molecules, and their relationships with IR. Postprandial multi-omics data significantly elucidate insulin and glucagon secretion, highlighting differences from the fasting state, while glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) are exclusively explained postprandially. Hormone secretion and molecular responses exhibit substantial heterogeneity among macronutrients. Postprandial multi-omics better predict IR, particularly with hepatic enrichment. Protein load shows the strongest association with both hepatic and muscular IR, while butter mostly connects with systemic IR. Several identified molecules mediate interactions between IR and islet α and β cell function, providing a molecular basis for advancing precision nutrition therapies in metabolic diseases.

Indexed as

Gastrointestinal HormonesIslets of LangerhansNutrientsAdultFemaleGastric Inhibitory PolypeptideGlucagonGlucagon-Like Peptide 1HumansInsulinInsulin ResistanceLiverMaleMultiomicsPostprandial PeriodGastric Inhibitory PolypeptideGastrointestinal HormonesGlucagonGlucagon-Like Peptide 1InsulinNutrientsincretininsulin resistancemacronutrientmulti-omicspancreatic islet hormone

Identifiers

PMID40907494
PMCPMC12490221

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.