Cargando…

Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus

BACKGROUND: State-of-the-art renewal has indicated the improvement of diagnostics of patients with metabolic associated fatty liver disease (MAFLD) and/or type II diabetes mellitus (T2DM) by dissecting the clinical characteristics as well as genomic analysis. However, the deficiency of the character...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Qiuping, Zhang, Leisheng, Li, Qian, Gu, Man, Qu, Qiu, Yang, Xinglong, Yi, Qinghua, Gu, Kunli, Kuang, Linli, Hao, Mei, Xu, Jing, Yang, Hongju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011963/
https://www.ncbi.nlm.nih.gov/pubmed/35421921
http://dx.doi.org/10.1186/s12866-022-02526-w
_version_ 1784687707261239296
author Yang, Qiuping
Zhang, Leisheng
Li, Qian
Gu, Man
Qu, Qiu
Yang, Xinglong
Yi, Qinghua
Gu, Kunli
Kuang, Linli
Hao, Mei
Xu, Jing
Yang, Hongju
author_facet Yang, Qiuping
Zhang, Leisheng
Li, Qian
Gu, Man
Qu, Qiu
Yang, Xinglong
Yi, Qinghua
Gu, Kunli
Kuang, Linli
Hao, Mei
Xu, Jing
Yang, Hongju
author_sort Yang, Qiuping
collection PubMed
description BACKGROUND: State-of-the-art renewal has indicated the improvement of diagnostics of patients with metabolic associated fatty liver disease (MAFLD) and/or type II diabetes mellitus (T2DM) by dissecting the clinical characteristics as well as genomic analysis. However, the deficiency of the characterization of microbial and metabolite signatures largely impedes the symptomatic treatment. METHODS: For the purpose, we retrospectively analyzed the clinical data of 20 patients with MAFLD (short for “M”), 20 cases with MAFLD and T2DM (short for “MD”), together with 19 healthy donors (short for “Ctr”). Microbial and metabolite analyses were further conducted to explore the similarities and differences among the aforementioned populations based on feces and blood samples, respectively. RESULTS: Compared with those in the Ctr group, patients with M or MD revealed multifaceted similarities (e.g., Age, ALP, LDL, BUN) and distinctions in clinical indicators of liver (e.g., BMI, ALT, PCHE, CAP). With the aid of microbial and metabolite analyses as well as bioinformatic analyses, we found that the characteristics of gut microbiota (e.g., abundance, hierarchical clustering, cladogram, species) and lipid metabolism (e.g., metabolite, correlation coefficient and scatter plot) were distinct among the indicated groups. CONCLUSIONS: The patients with MD revealed multifaceted similarities and distinctions in characteristics of microbiome and metabolites with those in the M and HD groups, and in particular, the significantly expressed microbes (e.g., Elusimicrobiota, Berkelbacteria, Cyanobacteria, Peregrinibacteria) and lipid metabolites (e.g., Lipid-Q-P-0765, Lipid-Q-P-0216, Lipid-Q-P-0034, Lipid-Q-P-0800), which would collectively benefit the clinical diagnosis of MAFLD and T2DM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02526-w.
format Online
Article
Text
id pubmed-9011963
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90119632022-04-16 Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus Yang, Qiuping Zhang, Leisheng Li, Qian Gu, Man Qu, Qiu Yang, Xinglong Yi, Qinghua Gu, Kunli Kuang, Linli Hao, Mei Xu, Jing Yang, Hongju BMC Microbiol Research BACKGROUND: State-of-the-art renewal has indicated the improvement of diagnostics of patients with metabolic associated fatty liver disease (MAFLD) and/or type II diabetes mellitus (T2DM) by dissecting the clinical characteristics as well as genomic analysis. However, the deficiency of the characterization of microbial and metabolite signatures largely impedes the symptomatic treatment. METHODS: For the purpose, we retrospectively analyzed the clinical data of 20 patients with MAFLD (short for “M”), 20 cases with MAFLD and T2DM (short for “MD”), together with 19 healthy donors (short for “Ctr”). Microbial and metabolite analyses were further conducted to explore the similarities and differences among the aforementioned populations based on feces and blood samples, respectively. RESULTS: Compared with those in the Ctr group, patients with M or MD revealed multifaceted similarities (e.g., Age, ALP, LDL, BUN) and distinctions in clinical indicators of liver (e.g., BMI, ALT, PCHE, CAP). With the aid of microbial and metabolite analyses as well as bioinformatic analyses, we found that the characteristics of gut microbiota (e.g., abundance, hierarchical clustering, cladogram, species) and lipid metabolism (e.g., metabolite, correlation coefficient and scatter plot) were distinct among the indicated groups. CONCLUSIONS: The patients with MD revealed multifaceted similarities and distinctions in characteristics of microbiome and metabolites with those in the M and HD groups, and in particular, the significantly expressed microbes (e.g., Elusimicrobiota, Berkelbacteria, Cyanobacteria, Peregrinibacteria) and lipid metabolites (e.g., Lipid-Q-P-0765, Lipid-Q-P-0216, Lipid-Q-P-0034, Lipid-Q-P-0800), which would collectively benefit the clinical diagnosis of MAFLD and T2DM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02526-w. BioMed Central 2022-04-15 /pmc/articles/PMC9011963/ /pubmed/35421921 http://dx.doi.org/10.1186/s12866-022-02526-w Text en © The Author(s) 2022 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
Yang, Qiuping
Zhang, Leisheng
Li, Qian
Gu, Man
Qu, Qiu
Yang, Xinglong
Yi, Qinghua
Gu, Kunli
Kuang, Linli
Hao, Mei
Xu, Jing
Yang, Hongju
Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title_full Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title_fullStr Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title_full_unstemmed Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title_short Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
title_sort characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type ii diabetes mellitus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011963/
https://www.ncbi.nlm.nih.gov/pubmed/35421921
http://dx.doi.org/10.1186/s12866-022-02526-w
work_keys_str_mv AT yangqiuping characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT zhangleisheng characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT liqian characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT guman characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT quqiu characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT yangxinglong characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT yiqinghua characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT gukunli characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT kuanglinli characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT haomei characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT xujing characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus
AT yanghongju characterizationofmicrobiomeandmetaboliteanalysesinpatientswithmetabolicassociatedfattyliverdiseaseandtypeiidiabetesmellitus