暴露于粉尘的大鼠的肠道微生物组和代谢组学特征

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Xi Shen, Miaomiao Wang, Shasha Pei, Shuyu Xiao, Kun Xiao, Jinlong Li, Xiaoming Li, Qingan Xia, Heliang Liu, Fuhai Shen
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Gut Microbiome and Metabolomics Profiles of Dust-exposed Rats.

Background: Limited treatments for silicosis necessitate further study of pneumoconiosis characteristics and pathophysiology. This study employs metabolomics to investigate metabolite changes and identify biomarkers for understanding pneumoconiosis pathogenesis.

Methods: We explored pneumoconiosis pathogenesis through the lens of intestinal flora, using 18 healthy SPF male SD rats divided into three groups: control, coal dust, and silica. After dust exposure, metabolite changes were analyzed to identify metabolic markers and pathways. We assessed the relationship between intestinal flora and silicosis, aiming to provide early diagnostic evidence. Rats were exposed to coal dust, silica, or sterile saline for 8 weeks, after which blood, lung tissue, and feces were collected. Lung pathology was assessed, and inflammatory factors (IL-6, IL-11) were measured. 16S rDNA sequencing and UHPLC-QTOFMS metabolomics were used to analyze intestinal flora and fecal metabolites.

Results: After 8 weeks of dust exposure, silica-exposed rats showed significantly reduced weight and elevated serum IL-6 and IL-11 levels compared to controls (P < 0.05). Lung tissue pathology revealed normal alveolar structure in controls, whereas silica group rats exhibited lung damage, intensified inflammation, and silicon nodule formation. Coal dust group rats showed lung tissue changes with fibroblast aggregation. α diversity analysis showed a decreased Shannon index and increased Simpson index in the coal dust group, and a decreased Simpson index in the silica group, suggesting altered intestinal flora. β diversity analysis confirmed significant differences in gut microbiota between dust-exposed groups and controls. Metabolomics identified 11 differential metabolites in rat feces, meeting criteria of Fold change > 2, VIP > 1, and P < 0.05, indicating metabolic changes post-exposure.

Conclusion: Dust exposure disrupts intestinal flora and metabolic state, with potential metabolic markers identified in both coal dust and silica groups, implicating fructose and mannose metabolism in coal dust exposure and sphingolipid metabolism in silica exposure. This study provides new insights into the pathogenesis of pneumoconiosis and potential biomarkers for early diagnosis.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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