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Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty

BACKGROUND: Central precocious puberty (CPP) is a common disease in prepubertal children and results mainly from disorders in the endocrine system. Emerging evidence has highlighted the involvement of gut microbes in hormone secretion, but their roles and downstream metabolic pathways in CPP remain...

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Autores principales: Huang, Xiaoyan, Chen, Jixiong, Zou, Haozhe, Huang, Peng, Luo, Hailing, Li, Haidan, Cai, Yuhua, Liu, Li, Li, Yongsheng, He, Xiaojie, Xiang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176710/
https://www.ncbi.nlm.nih.gov/pubmed/37170084
http://dx.doi.org/10.1186/s12967-023-04169-5
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author Huang, Xiaoyan
Chen, Jixiong
Zou, Haozhe
Huang, Peng
Luo, Hailing
Li, Haidan
Cai, Yuhua
Liu, Li
Li, Yongsheng
He, Xiaojie
Xiang, Wei
author_facet Huang, Xiaoyan
Chen, Jixiong
Zou, Haozhe
Huang, Peng
Luo, Hailing
Li, Haidan
Cai, Yuhua
Liu, Li
Li, Yongsheng
He, Xiaojie
Xiang, Wei
author_sort Huang, Xiaoyan
collection PubMed
description BACKGROUND: Central precocious puberty (CPP) is a common disease in prepubertal children and results mainly from disorders in the endocrine system. Emerging evidence has highlighted the involvement of gut microbes in hormone secretion, but their roles and downstream metabolic pathways in CPP remain unknown. METHODS: To explore the gut microbes and metabolism alterations in CPP, we performed the 16S rRNA sequencing and untargeted metabolomics profiling for 91 CPP patients and 59 healthy controls. Bioinformatics and statistical analyses, including the comparisons of alpha and beta diversity, abundances of microbes, were undertaken on the 16S rRNA gene sequences and metabolism profiling. Classifiers were constructed based on the microorganisms and metabolites. Functional and pathway enrichment analyses were performed for identification of the altered microorganisms and metabolites in CPP. RESULTS: We integrated a multi-omics approach to investigate the alterations and functional characteristics of gut microbes and metabolites in CPP patients. The fecal microbiome profiles and fecal and blood metabolite profiles for 91 CPP patients and 59 healthy controls were generated and compared. We identified the altered microorganisms and metabolites during the development of CPP and constructed a machine learning-based classifier for distinguishing CPP. The Area Under Curves (AUCs) of the classifies were ranged from 0.832 to 1.00. In addition, functional analysis of the gut microbiota revealed that the nitric oxide synthesis was closely associated with the progression of CPP. Finally, we investigated the metabolic potential of gut microbes and discovered the genus Streptococcus could be a candidate molecular marker for CPP treatment. CONCLUSIONS: Overall, we utilized multi-omics data from microorganisms and metabolites to build a classifier for discriminating CPP patients from the common populations and recognized potential therapeutic molecular markers for CPP through comprehensive analyses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04169-5.
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spelling pubmed-101767102023-05-13 Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty Huang, Xiaoyan Chen, Jixiong Zou, Haozhe Huang, Peng Luo, Hailing Li, Haidan Cai, Yuhua Liu, Li Li, Yongsheng He, Xiaojie Xiang, Wei J Transl Med Research BACKGROUND: Central precocious puberty (CPP) is a common disease in prepubertal children and results mainly from disorders in the endocrine system. Emerging evidence has highlighted the involvement of gut microbes in hormone secretion, but their roles and downstream metabolic pathways in CPP remain unknown. METHODS: To explore the gut microbes and metabolism alterations in CPP, we performed the 16S rRNA sequencing and untargeted metabolomics profiling for 91 CPP patients and 59 healthy controls. Bioinformatics and statistical analyses, including the comparisons of alpha and beta diversity, abundances of microbes, were undertaken on the 16S rRNA gene sequences and metabolism profiling. Classifiers were constructed based on the microorganisms and metabolites. Functional and pathway enrichment analyses were performed for identification of the altered microorganisms and metabolites in CPP. RESULTS: We integrated a multi-omics approach to investigate the alterations and functional characteristics of gut microbes and metabolites in CPP patients. The fecal microbiome profiles and fecal and blood metabolite profiles for 91 CPP patients and 59 healthy controls were generated and compared. We identified the altered microorganisms and metabolites during the development of CPP and constructed a machine learning-based classifier for distinguishing CPP. The Area Under Curves (AUCs) of the classifies were ranged from 0.832 to 1.00. In addition, functional analysis of the gut microbiota revealed that the nitric oxide synthesis was closely associated with the progression of CPP. Finally, we investigated the metabolic potential of gut microbes and discovered the genus Streptococcus could be a candidate molecular marker for CPP treatment. CONCLUSIONS: Overall, we utilized multi-omics data from microorganisms and metabolites to build a classifier for discriminating CPP patients from the common populations and recognized potential therapeutic molecular markers for CPP through comprehensive analyses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04169-5. BioMed Central 2023-05-11 /pmc/articles/PMC10176710/ /pubmed/37170084 http://dx.doi.org/10.1186/s12967-023-04169-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Xiaoyan
Chen, Jixiong
Zou, Haozhe
Huang, Peng
Luo, Hailing
Li, Haidan
Cai, Yuhua
Liu, Li
Li, Yongsheng
He, Xiaojie
Xiang, Wei
Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title_full Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title_fullStr Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title_full_unstemmed Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title_short Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
title_sort gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176710/
https://www.ncbi.nlm.nih.gov/pubmed/37170084
http://dx.doi.org/10.1186/s12967-023-04169-5
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