Transcriptomic and Metabolomic Analysis of Liver Cirrhosis
- Авторы: Kuang X.1, Li J.1, Xu Y.1, Yang L.2, Liu X.1, Yang J.2, Tai W.1
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Учреждения:
- Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
- Department of Gastroenterology, Yunnan Research for Liver Diseases, The Second Affiliated Hospital of Kunming Medical University
- Выпуск: Том 27, № 6 (2024)
- Страницы: 922-932
- Раздел: Chemistry
- URL: https://kazanmedjournal.ru/1386-2073/article/view/644900
- DOI: https://doi.org/10.2174/1386207326666230717094936
- ID: 644900
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Аннотация
Background:Liver cirrhosis is one of the leading causes of decreased life expectancy worldwide. However, the molecular mechanisms underlying liver cirrhosis remain unclear. In this study, we performed a comprehensive analysis using transcriptome and metabolome sequencing to explore the genes, pathways, and interactions associated with liver cirrhosis.
Methods:We performed transcriptome and metabolome sequencing of blood samples from patients with cirrhosis and healthy controls (1:1 matched for sex and age). We validated the differentially expressed microRNA (miRNA) and mRNAs using real-time quantitative polymerase chain reaction.
Results:For transcriptome analysis, we screened for differentially expressed miRNAs and mRNAs, analyzed mRNAs to identify possible core genes and pathways, and performed coanalysis of miRNA and mRNA sequencing results. In terms of the metabolome, we screened five pathways that were substantially enriched in the differential metabolites. Next, we identified the metabolites with the most pronounced differences among these five metabolic pathways. We performed receiver operating characteristic (ROC) curve analysis of these five metabolites to determine their diagnostic efficacy for cirrhosis. Finally, we explored possible links between the transcriptome and metabolome.
Conclusion:Based on sequencing and bioinformatics, we identified miRNAs and genes that were differentially expressed in the blood of patients with liver cirrhosis. By exploring pathways and disease-specific networks, we identified unique biological mechanisms. In terms of metabolomes, we identified novel biomarkers and explored their diagnostic efficacy. We identified possible common pathways in the transcriptome and metabolome that could serve as candidates for further studies.
Об авторах
Xiao Kuang
Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Jinyu Li
Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Yiheng Xu
Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Lihong Yang
Department of Gastroenterology, Yunnan Research for Liver Diseases, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Xiaoxiao Liu
Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Jinhui Yang
Department of Gastroenterology, Yunnan Research for Liver Diseases, The Second Affiliated Hospital of Kunming Medical University
Email: info@benthamscience.net
Wenlin Tai
Department of Clinical Laboratory, Yunnan Molecular Diagnostic Center, The Second Affiliated Hospital of Kunming Medical University
Автор, ответственный за переписку.
Email: info@benthamscience.net
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