Evidence map›Paper›PMID 40240942›Full record

ArticleGenes & nutrition2025

Metabolome profiling across liver lobes and metabolic shifts of the MASLD mice.

Xiaolin Ma, Wenbo Bian, Wenting Song, Yitong Lu, Zhen Wang, Zhenyu Yao, Qiuhui Xuan

Abstract read
In one paragraph

Article in Genes & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Weight Loss During Obesity Provokes Asparaginase-Associated Liver Steatosis and Endoplasmic Reticulum Stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  5. Article
4 · The record

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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

7 authors.

Xiaolin MaDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China.
Wenbo BianDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China.
Wenting SongDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China.
Yitong LuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China.
Zhen WangDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China. wangzhen@sdfmu.edu.cn.ORCID http://orcid.org/0000-0002-1215-1661
Zhenyu YaoDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China. yaozhenyu@sdfmu.edu.cn.ORCID http://orcid.org/0000-0002-0616-8037
Qiuhui XuanDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University; Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China. xuanflytosky@163.com.ORCID http://orcid.org/0000-0002-2996-6111

Funding

National Natural Science Foundation of China 22204090National Natural Science Foundation of China 82002995National Natural Science Foundation of China 82200879Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0507800Shandong Provincial Natural Science Foundation ZR2021QB089Shandong Provincial Natural Science Foundation ZR2022QH272
6 · The paper itself

Abstract

backgroundThe mammalian liver executes its vital functions through intricate hepatic biochemistry. However, the complexity of the liver metabolome and its dynamic alterations during metabolic dysfunction-associated steatotic liver disease (MASLD) remain poorly understood.

methodsWe established progressive MASLD mouse models through high-fat diet (HFD) and high-fat/high-cholesterol (HFHC) dietary-feeding across multiple time points. Utilizing liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and lipidomics, we systematically mapped the metabolome atlas of the mouse liver across five anatomical segments during the progression of MASLD.

resultsBy integration of data from two assays, we structurally annotated 426 lipids and 118 polar metabolites. The temporal progression of HFD feeding (0, 8, and 16 weeks) resulted in gradual metabolic deterioration across various liver segments. In HFHC-fed mice, metabolic alterations surged sharply from 0 to 8 weeks, followed by moderate progression until 16 weeks in different liver segments. Elevated levels of glycerolipids and cholesteryl esters, along with fluctuating acylcarnitine and fatty acid levels across various liver segments, suggested impaired energy metabolism and disrupted fatty acid oxidation. As MASLD progresses, a shift in sphingolipid metabolism, linked to inflammation, was observed, accompanied by significant alterations in phospholipid turnover patterns. Additionally, amino acid profiles in the livers of HFD-fed and HFHC-fed mice were altered, potentially influencing the regulation of energy metabolism, inflammation, and oxidative stress. These metabolic changes in lipids and amino acids displayed segment-specific patterns, indicating varying sensitivities to inflammation and mitochondrial β-oxidation across different liver lobes. Notably, the left lateral lobe showed heightened sensitivity to metabolic disturbances during MASLD progression.

conclusionOur findings provided in-depth understanding in hepatic metabolites of MASLD, offering a comprehensive resource for further investigation.

Indexed as

Amino acid metabolismLipid metabolismLiver lobesMASLDMetabolites

Identifiers

PMID40240942
PMCPMC12001577

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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.