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Mai H, Yang X, Xie Y, Zhou J, Wang Q, Wei Y, Yang Y, Lu D, Ye L, Cui P, Liang H, Huang J. The role of gut microbiota in the occurrence and progression of non-alcoholic fatty liver disease. Front Microbiol 2024; 14:1257903. [PMID: 38249477 PMCID: PMC10797006 DOI: 10.3389/fmicb.2023.1257903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide, and gut microbes are associated with the development and progression of NAFLD. Despite numerous studies exploring the changes in gut microbes associated with NAFLD, there was no consistent pattern of changes. Method We retrieved studies on the human fecal microbiota sequenced by 16S rRNA gene amplification associated with NAFLD from the NCBI database up to April 2023, and re-analyzed them using bioinformatic methods. Results We finally screened 12 relevant studies related to NAFLD, which included a total of 1,189 study subjects (NAFLD, n = 654; healthy control, n = 398; obesity, n = 137). Our results revealed a significant decrease in gut microbial diversity with the occurrence and progression of NAFLD (SMD = -0.32; 95% CI -0.42 to -0.21; p < 0.001). Alpha diversity and the increased abundance of several crucial genera, including Desulfovibrio, Negativibacillus, and Prevotella, can serve as an indication of their predictive risk ability for the occurrence and progression of NAFLD (all AUC > 0.7). The occurrence and progression of NAFLD are significantly associated with higher levels of LPS biosynthesis, tryptophan metabolism, glutathione metabolism, and lipid metabolism. Conclusion This study elucidated gut microbes relevance to disease development and identified potential risk-associated microbes and functional pathways associated with NAFLD occurrence and progression.
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Affiliation(s)
- Huanzhuo Mai
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Xing Yang
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Yulan Xie
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Jie Zhou
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Qing Wang
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Yiru Wei
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Yuecong Yang
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Dongjia Lu
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
| | - Li Ye
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
- Joint Laboratory for Emerging Infectious Diseases in China (Guangxi)-ASEAN, Nanning, China
| | - Ping Cui
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
- Joint Laboratory for Emerging Infectious Diseases in China (Guangxi)-ASEAN, Nanning, China
- Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Hao Liang
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
- Joint Laboratory for Emerging Infectious Diseases in China (Guangxi)-ASEAN, Nanning, China
- Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jiegang Huang
- School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
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Zhou H, Zhang Y, Jin J, Shen K, Yang Y, Lao P. Prognostic evaluation of the novel blueprint of DNA methylation sites by integrating bulk RNA-sequencing and methylation modification data in endometrial cancer. J Gene Med 2024; 26:e3638. [PMID: 38011892 DOI: 10.1002/jgm.3638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/15/2023] [Accepted: 11/01/2023] [Indexed: 11/29/2023] Open
Abstract
INTRODUCTION Endometrial cancer (EC) is a prevalent malignancy affecting the female population, with an increasing incidence among younger age groups. DNA methylation, a common epigenetic modification, is well-established to play a key role in cancer progression. We suspected whether DNA methylation could be used as biomarkers for EC prognosis. METHODS In the present study, we analyzed bulk RNA-sequencing data from 544 EC patients and DNA methylation data from 430 EC patients in the TCGA-UCEC cohort. We applied weighted correlation network analysis to select a key gene set associated with panoptosis. We conducted correlation analysis between transcriptomic data of the selected key genes and DNA methylation data to identify valuable DNA methylation sites. These sites were further screened by Cox regression and least absolute shrinkage and selection operator analysis. Immune microenvironment differences between high-risk and low-risk groups were assessed using single-sample gene set enrichment analysi, xCell and MCPcounter algorithms. RESULTS Our results identified five DNA methylation sites (cg03906681, cg04549977, cg06029846, cg10043253 and cg15658376) with significant prognostic value in EC. We constructed a prognostic model using these sites, demonstrating satisfactory predictive performance. The low-risk group showed higher immune cell infiltration. Notably, methylation of site cg03906681 was negatively related to CD8 T cell infiltration, whereas cg04549977 exhibited positive correlations with immune infiltration, particularly in macrophages, activated B cells, dendritic cells and myeloid-derived suppressor cells. PD0325901_1060 was strongly correlated with risk scores, indicating a potential therapeutic response for high-risk EC patients. CONCLUSION We have developed a robust DNA methylation-based prognostic model for EC, which holds promise for improving prognosis prediction and personalized treatment approaches. These findings may contribute to better management of EC patients, particularly in identifying those at higher risk who may benefit from tailored interventions.
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Affiliation(s)
- Huanzhen Zhou
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yingzhi Zhang
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Jing Jin
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Kewei Shen
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yang Yang
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Peiwei Lao
- Department of Obstetrics And Gynaecology, The First Affiliated Hospital of Ningbo University, Ningbo, China
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