Scholarlink

Abstract <p>Using two different methodological approaches—bioinformatic and quantitative PCR—a comparative analysis of gut metagenomes of patients with depression and healthy volunteers was carried out based on the representation of signature bacterial genes encoding key enzymes for the production of metabolites as biomarkers for depression, complementary genes from the genomes of the commensal bacterium <i>Faecalibacterium prausnitzii</i>. Using the <i>in silico</i> approach, the strain specificity of biomarker genes was revealed, their clustering into groups was carried out and their distribution in 36 metagenomes of patients with depression and 38 healthy volunteers was investigated. Primers were selected for a number of genes from the most common groups. Using them, a quantitative PCR analysis of 15 metagenomes from patients with depression and 15 metagenomes from healthy volunteers was performed. A comparative analysis of the data obtained revealed a statistically significant decrease in the level of representation of genes encoding glutamate synthase GltB, asparagine synthetase AsnA, and serine hydroxymethyltransferase in gut metagenomes of patients with depression. Based on the data obtained, these genes can be recommended as biomarkers for the development of test systems for the diagnosis of clinical depression by the gut microbiome.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Comparative Analysis of Gut Metagenomes of Patients with Depression by Signature Genes of Faecalibacterium prausnitzii at the Strain Level

  • 期刊论文

  • 发表日期：

    2025年2月1日

查看全文
  • O. V. Averina,
  • A. S. Kovtun,
  • V. N. Danilenko

摘要

Abstract

Using two different methodological approaches—bioinformatic and quantitative PCR—a comparative analysis of gut metagenomes of patients with depression and healthy volunteers was carried out based on the representation of signature bacterial genes encoding key enzymes for the production of metabolites as biomarkers for depression, complementary genes from the genomes of the commensal bacterium Faecalibacterium prausnitzii. Using the in silico approach, the strain specificity of biomarker genes was revealed, their clustering into groups was carried out and their distribution in 36 metagenomes of patients with depression and 38 healthy volunteers was investigated. Primers were selected for a number of genes from the most common groups. Using them, a quantitative PCR analysis of 15 metagenomes from patients with depression and 15 metagenomes from healthy volunteers was performed. A comparative analysis of the data obtained revealed a statistically significant decrease in the level of representation of genes encoding glutamate synthase GltB, asparagine synthetase AsnA, and serine hydroxymethyltransferase in gut metagenomes of patients with depression. Based on the data obtained, these genes can be recommended as biomarkers for the development of test systems for the diagnosis of clinical depression by the gut microbiome.