Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure
Abstract Background The exact mechanism of atrial fibrillation (AF)-induced heart failure (HF) remains unclear. Proteomics and metabolomics were integrated to in this study, as to describe AF patients’ dysregulated proteins and metabolites, comparing patients without HF to patients with HF. Methods...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-12-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-022-09044-z |
| _version_ | 1811315307154767872 |
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| author | Haiyu Zhang Lu Wang Dechun Yin Qi Zhou Lin Lv Zengxiang Dong Yuanqi Shi |
| author_facet | Haiyu Zhang Lu Wang Dechun Yin Qi Zhou Lin Lv Zengxiang Dong Yuanqi Shi |
| author_sort | Haiyu Zhang |
| collection | DOAJ |
| description | Abstract Background The exact mechanism of atrial fibrillation (AF)-induced heart failure (HF) remains unclear. Proteomics and metabolomics were integrated to in this study, as to describe AF patients’ dysregulated proteins and metabolites, comparing patients without HF to patients with HF. Methods Plasma samples of 20 AF patients without HF and another 20 with HF were analyzed by multi-omics platforms. Proteomics was performed with data independent acquisition-based liquid chromatography-tandem mass spectrometry (LC-MS/MS), as metabolomics was performed with LC-MS/MS platform. Proteomic and metabolomic results were analyzed separately and integrated using univariate statistical methods, multivariate statistical methods or machine learning model. Results We found 35 up-regulated and 15 down-regulated differentially expressed proteins (DEPs) in AF patients with HF compared to AF patients without HF. Moreover, 121 up-regulated and 14 down-regulated differentially expressed metabolites (DEMs) were discovered in HF patients compared to AF patients without HF. An integrated analysis of proteomics and metabolomics revealed several significantly enriched pathways, including Glycolysis or Gluconeogenesis, Tyrosine metabolism and Pentose phosphate pathway. A total of 10 DEPs and DEMs selected as potential biomarkers provided excellent predictive performance, with an AUC of 0.94. In addition, subgroup analysis of HF classification was performed based on metabolomics, which yielded 9 DEMs that can distinguish between AF and HF for HF classification. Conclusions This study provides novel insights to understanding the mechanisms of AF-induced HF progression and identifying novel biomarkers for prognosis of AF with HF by using metabolomics and proteomics analyses. |
| first_indexed | 2024-04-13T11:27:55Z |
| format | Article |
| id | doaj.art-c7407015d0d04d679230c9387815f0a7 |
| institution | Directory Open Access Journal |
| issn | 1471-2164 |
| language | English |
| last_indexed | 2024-04-13T11:27:55Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj.art-c7407015d0d04d679230c9387815f0a72022-12-22T02:48:38ZengBMCBMC Genomics1471-21642022-12-0123111210.1186/s12864-022-09044-zIntegration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failureHaiyu Zhang0Lu Wang1Dechun Yin2Qi Zhou3Lin Lv4Zengxiang Dong5Yuanqi Shi6Key Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, the First Affiliated Hospital, Harbin Medical UniversityKey Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, the First Affiliated Hospital, Harbin Medical UniversityDepartment of Cardiology, the First Affiliated Hospital, Harbin Medical UniversityResearch Management Office, the First Affiliated Hospital, Harbin Medical UniversityKey Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, the First Affiliated Hospital, Harbin Medical UniversityKey Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, the First Affiliated Hospital, Harbin Medical UniversityKey Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, the First Affiliated Hospital, Harbin Medical UniversityAbstract Background The exact mechanism of atrial fibrillation (AF)-induced heart failure (HF) remains unclear. Proteomics and metabolomics were integrated to in this study, as to describe AF patients’ dysregulated proteins and metabolites, comparing patients without HF to patients with HF. Methods Plasma samples of 20 AF patients without HF and another 20 with HF were analyzed by multi-omics platforms. Proteomics was performed with data independent acquisition-based liquid chromatography-tandem mass spectrometry (LC-MS/MS), as metabolomics was performed with LC-MS/MS platform. Proteomic and metabolomic results were analyzed separately and integrated using univariate statistical methods, multivariate statistical methods or machine learning model. Results We found 35 up-regulated and 15 down-regulated differentially expressed proteins (DEPs) in AF patients with HF compared to AF patients without HF. Moreover, 121 up-regulated and 14 down-regulated differentially expressed metabolites (DEMs) were discovered in HF patients compared to AF patients without HF. An integrated analysis of proteomics and metabolomics revealed several significantly enriched pathways, including Glycolysis or Gluconeogenesis, Tyrosine metabolism and Pentose phosphate pathway. A total of 10 DEPs and DEMs selected as potential biomarkers provided excellent predictive performance, with an AUC of 0.94. In addition, subgroup analysis of HF classification was performed based on metabolomics, which yielded 9 DEMs that can distinguish between AF and HF for HF classification. Conclusions This study provides novel insights to understanding the mechanisms of AF-induced HF progression and identifying novel biomarkers for prognosis of AF with HF by using metabolomics and proteomics analyses.https://doi.org/10.1186/s12864-022-09044-zAtrial fibrillationHeart failureProteomicsMetabolomicsBiomarkers |
| spellingShingle | Haiyu Zhang Lu Wang Dechun Yin Qi Zhou Lin Lv Zengxiang Dong Yuanqi Shi Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure BMC Genomics Atrial fibrillation Heart failure Proteomics Metabolomics Biomarkers |
| title | Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure |
| title_full | Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure |
| title_fullStr | Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure |
| title_full_unstemmed | Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure |
| title_short | Integration of proteomic and metabolomic characterization in atrial fibrillation-induced heart failure |
| title_sort | integration of proteomic and metabolomic characterization in atrial fibrillation induced heart failure |
| topic | Atrial fibrillation Heart failure Proteomics Metabolomics Biomarkers |
| url | https://doi.org/10.1186/s12864-022-09044-z |
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