Evidence map›Paper›PMID 38445874›Full record

ArticleMicrobiology spectrum2024

Integrative metabolomics highlights gut microbiota metabolites as novel NAFLD-related candidate biomarkers in children.

Jiayou Luo, Miyang Luo, Atipatsa C Kaminga, Jia Wei, Wen Dai, Yunlong Peng, Kunyan Zhao, Yamei Duan, Xiang Xiao, SiSi Ouyang and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Jiayou LuoPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.ORCID 0000-0003-1542-9072
Miyang LuoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Atipatsa C KamingaDepartment of Mathematics and Statistics, Mzuzu University, Mzuzu, Malawi.
Jia WeiDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-9499-7697
Wen DaiDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Yunlong PengDepartment of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, China.
Kunyan ZhaoSchool of Public Health, University of South China, Hengyang, China.
Yamei DuanDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Xiang XiaoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
SiSi OuyangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Zhenzhen YaoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Yixu LiuDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Xiongfeng PanPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.ORCID 0000-0002-3443-6465
Central South University · CNMzuzu University · MWSoochow University · CNUniversity of South China · CN

Funding

Children's Hospital of Xiangya Medical College Project 2024GZPY04MOST | National Natural Science Foundation of China (NSFC) 2022JJ40668MOST | National Natural Science Foundation of China (NSFC) 81872641, 2021JJ30901
6 · The paper itself

Abstract

Altered gut microbiota and metabolites are important for non-alcoholic fatty liver disease (NAFLD) in children. We aimed to comprehensively examine the effects of gut metabolites on NAFLD progression. We performed integrative metabolomics (untargeted discovery and targeted validation) analysis of non-alcoholic fatty liver (NAFL), non-alcoholic steatohepatitis (NASH), and obesity in children. Fecal samples were collected from 75 subjects in the discovery cohort (25 NAFL, 25 NASH, and 25 obese control children) and 145 subjects in an independent validation cohort (53 NAFL, 39 NASH, and 53 obese control children). Among 2,491 metabolites, untargeted metabolomics revealed a complete NAFLD metabolic map containing 318 increased and 123 decreased metabolites. Then, machine learning selected 65 important metabolites that can distinguish the severity of the NAFLD. Furthermore, precision-targeted metabolomics selected 5 novel gut metabolites from 20 typical metabolites. The functionality of candidate metabolites was validated in hepatocyte cell lines. In the end, this study annotated two novel elevated pathogenic metabolites (dodecanoic acid and creatinine) and a relationship between depleted protective gut microbiota ( IMPORTANCE: Altered gut microbiota and metabolites are a major cause of non-alcoholic fatty liver disease (NAFLD) in children. This study demonstrated a complete gut metabolic map of children with NAFLD, containing 318 increased and 123 decreased metabolites by untargeted metabolomic. Multiple validation approaches (machine learning and targeted metabolomic) selected five novel gut metabolites for targeted metabolomics, which can distinguish NAFLD status and severity. The gut microbiota (

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseasePediatric ObesityBiomarkersChildCreatinineHumansInflammationLiverMetabolomicsBiomarkersCreatininebiomarkerchildrengut microbiotametabolomicnon-alcoholic fatty liver disease

Identifiers

PMID38445874
PMCPMC10986516
OpenAlexW4392510311

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.