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

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机构: [1]Division of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming 650031, China. [2]Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province & NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, 204 Donggangxi Road, Chengguan District, Lanzhou City 730000, Gansu Province, China. [3]Key Laboratory of Radiation Technology and Biophysics, Hefei Institute of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei 230031, China. [4]Transfusion Medicine Research Department, Yunnan Kunming Blood Center, Kunming 650011, China. [5]Kunming Guandu District People’s Hospital, Kunming 650220, China.
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关键词: Metabolic associated fatty liver disease (MAFLD) Type II diabetes mellitus (T2DM) Gut microbiota Metabolome Clinical diagnosis

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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.

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出版当年[2022]版:
大类 | 3 区 生物学
小类 | 3 区 微生物学
最新[2023]版:
大类 | 2 区 生物学
小类 | 3 区 微生物学
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出版当年[2021]版:
Q2 MICROBIOLOGY
最新[2023]版:
Q2 MICROBIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [1]Division of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming 650031, China.
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通讯机构: [2]Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province & NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, 204 Donggangxi Road, Chengguan District, Lanzhou City 730000, Gansu Province, China. [3]Key Laboratory of Radiation Technology and Biophysics, Hefei Institute of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei 230031, China.
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