Evidence map›Paper›PMID 41035113›Full record

ArticleDiabetes, obesity & metabolism2025

Tryptophan derivatives as non-invasive diagnostic indicators for obesity-related MASLD in children and adolescents.

Shumin Zhan, Xingyun Wang, Chen Wang, Bowen Zhu, Jianfang Gao, Zhou Peng, Rui Wang, Yun Yang, Liang Zhang, Tengfei Wang and 11 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 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

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

5 citing papers in PubMed.

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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.

Shumin ZhanDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Xingyun WangHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chen WangHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bowen ZhuHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0001-4372-2180
Jianfang GaoHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhou PengHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui WangHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yun YangDepartment of Pediatrics, The First Affliated Hospital of Nanjing Medical University, Nanjing, China.
Liang ZhangSchool of Cyberspace Security, Southeast University, Nanjing, China.
Tengfei WangHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiaoxiang WuHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei WuDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Ke HuangDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Guanping DongDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Qiannan RenDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Shan WangDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Senjie WangDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Xuelian ZhouDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Liling XuHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junfen FuDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.ORCID 0000-0001-6405-1251
Xirong GuoHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-3873-8233

Funding

National Key Research and Development Program of China 2021YFC2701900National Key Research and Development Program of China 2021YFC2701901National Key Research and Development Program of China 2021YFC2701903National Natural Science Foundation of China 82170869Research Fund of National Health Commission & Zhejiang major Health Science and Technology WKJ-ZJ-2535
6 · The paper itself

Abstract

aimsMetabolic dysfunction-associated steatotic liver disease (MASLD) represents a major health burden in children and adolescents with obesity. This study aimed to characterize metabolic alterations associated with obesity-related MASLD and to evaluate the potential of tryptophan (TRP)-derived metabolites as non-invasive biomarkers for early diagnosis. MATERIALS AND

methodsA total of 30 normal-weight individuals and 80 patients diagnosed with obesity were included in the discovery cohort. Circulating metabolites were quantified and compared among normal-weight individuals, patients with obesity, and those with obesity-related MASLD to identify metabolic changes associated with disease status. In vitro experiments using mouse hepatocytes and liver organoids were conducted to assess the effects of TRP-derived metabolites on intracellular lipid accumulation. Finally, a non-invasive diagnostic model was developed using machine learning techniques and validated in an independent cohort of 112 individuals.

resultsCirculating TRP metabolism was markedly elevated in children and adolescents with obesity-related MASLD compared with both normal-weight controls and individuals with simple obesity. TRP-derived metabolites significantly promoted intracellular lipid accumulation in mouse hepatocytes and liver organoids via the induction of oxidative stress. The non-invasive diagnostic model based on TRP-derived metabolites demonstrated robust performance in differentiating obesity-related MASLD from simple obesity in both the discovery and validation cohorts. DISCUSSION: These findings highlight the pivotal role of TRP metabolism in the pathogenesis of MASLD in children and adolescents with obesity. Elevated TRP-derived metabolites may contribute to hepatic lipid accumulation through oxidative stress and serve as promising non-invasive biomarkers for the early diagnosis of obesity-related MASLD. The machine learning-based diagnostic model offers a practical and less invasive alternative to current diagnostic approaches such as liver biopsy.

Indexed as

Fatty LiverNon-alcoholic Fatty Liver DiseasePediatric ObesityTryptophanAdolescentAnimalsBiomarkersChildEarly DiagnosisFemaleHepatocytesHumansLiverMaleMiceBiomarkersTryptophanbiomarkerschildren obesityliver organoidsmetabolic dysfunction‐associated steatotic liver disease (MASLD)tryptophan metabolism

Identifiers

PMID41035113
PMCPMC12587227

What Socratic holds

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Registered trials

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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 Socratic graph.