Gut microbiota changes and its potential relations with thyroid carcinoma
| Autor: | Zhongwei Lv, Simin Liu, Russell O Kosik, Yingchun Song, Qiong Luo, Tingting Qiao, Xiaqing Yu, Dan Li, Wen Jiang, Chengwen Deng, Shanshan Qin, Junyu Tong |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Medicine (General) Science (General) Gut microbiota Gut flora digestive system Thyroid carcinoma Pathogenesis 03 medical and health sciences Q1-390 0302 clinical medicine Immune system R5-920 RNA Ribosomal 16S medicine Humans Typing Thyroid Neoplasms 16S rRNA gene sequencing ComputingMethodologies_COMPUTERGRAPHICS Multidisciplinary biology Microbiota Thyroid fungi Stool biomarkers biology.organism_classification Gastrointestinal Microbiome 030104 developmental biology medicine.anatomical_structure Cross-Sectional Studies 030220 oncology & carcinogenesis Immunology Cohort Medicine DNA mismatch repair |
| Zdroj: | Journal of Advanced Research Journal of Advanced Research, Vol 35, Iss, Pp 61-70 (2022) |
| ISSN: | 2090-1224 |
| Popis: | Graphical abstract Highlights • Thyroid cancer patients have reduced richness and diversity of gut microbiota. • A predictive model of 10 genera could distinguish thyroid cancer patients from healthy controls. • The loss of the short-chain fatty acid-producing bacteria may promote thyroid carcinoma. • The functional changes that occur in thyroid cancer patients affect the processing of genetic information. • A four-genus microbial signature may be able to distinguish thyroid carcinoma patients with metastatic lymphadenopathy from those without metastatic lymphadenopathy. Introduction Emerging evidence suggests that the essence of life is the ecological balance of the neural, endocrine, metabolic, microbial, and immune systems. Gut microbiota have been implicated as an important factor affecting thyroid homeostasis. Objectives This study aims to explore the relationship between gut microbiota and the development of thyroid carcinoma. Methods Stool samples were collected from 90 thyroid carcinoma patients (TCs) and 90 healthy controls (HCs). Microbiota were analyzed using 16S ribosomal RNA gene sequencing. A cross-sectional study of an exploratory cohort of 60 TCs and 60 HCs was conducted. The gut microbiota signature of TCs was established by LEfSe, stepwise logistic regression, lasso regression, and random forest model analysis. An independent cohort of 30 TCs and 30 HCs was used to validate the findings. Functional prediction was achieved using Tax4Fun and PICRUSt2. TC patients were subsequently divided into subgroups to analyze the relationship between microbiota and metastatic lymphadenopathy. Results In the exploratory cohorts, TCs had reduced richness and diversity of gut microbiota compared to HCs. No significant difference was found between TCs and HCs on the phylum level, though 70% of TCs had increased levels of Proteobacteria-types based on dominant microbiota typing. A prediction model of 10 genera generated with LEfSe analysis and lasso regression distinguished TCs from HCs with areas under the curves of 0.809 and 0.746 in the exploration and validation cohorts respectively. Functional prediction suggested that the microbial changes observed in TCs resulted in a decline in aminoacyl-tRNA biosynthesis, homologous recombination, mismatch repair, DNA replication, and nucleotide excision repair. A four-genus microbial signature was able to distinguish TC patients with metastatic lymphadenopathy from those without metastatic lymphadenopathy. Conclusion Our study shows that thyroid carcinoma patients demonstrate significant changes in gut microbiota, which will help delineate the relationship between gut microbiota and TC pathogenesis. |
| Databáze: | OpenAIRE |
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