Shared genetic features inference among hypoxia-ischemia diseases in the presence of heterogenous omics data based on a novel risk assessment method

The hypoxia-ischemia (H-I) diseases share some common mechanisms which may help to delay the diseases' processing. However, the shared features are still unclear due to the lack of large scale high-quality multi - omics data that specifically target the same disease, population, and tissues/cells. In this study, we developed a novel risk assessment method to analyze four H-I diseases including eclampsia/preeclampsia (PE), pulmonary arterial hypertension (PAH), high-altitude polycythemia (HAPC), and ischemic stroke (IS). A combined new evaluation score was designed to integrate evaluation information from genomics, transcriptomics, proteomics, and metabolomics in previous researches. Genes were then divided into different groups according to their risk assessment score. The most significant group (direct biomarkers) contained genes with direct evidence of association to H-I disease: <i>PIEZO2</i> and <i>HPGD</i> (shared), <i>TSIX</i> and <i>SAA1</i> (PAH - specific), <i>GSTM1</i>, <i>DNTT</i>, and <i>IGKC</i> (HAPC - specific), <i>LEP</i>, <i>SERPINA3</i>, and <i>ARHGEF4</i> (PE - specific), <i>CD3D</i>, <i>ITK</i>, and <i>RPL18A</i> (IS - specific). The groups 'Intermediate crucial biomarkers' contained genes played important roles in H-I disease related biological processes: <i>CXCL8</i> (shared), <i>HBG2</i>, <i>GRIN2A</i>, and <i>FGFBP1</i> (PAH - specific), <i>FAM111B</i> (HAPC - specific), <i>C12orf39</i> and <i>SLAMF1</i> (PE - specific). The genes lacking disease-association evidence but with similar characteristics with the above two groups were considered as 'potential minor-effect biomarkers': are <i>SRRM2 - AS1</i> (shared), <i>ATP8A1</i> (PAH - specific), <i>RXFP1</i> and <i>HJURP</i> (HAPC - specific), <i>HIST1H1T</i> (PE - specific). With the development of biological experiments, these intermediate crucial and potential minor-effect biomarkers may be proved to be direct biomarkers in the future. Therefore, these biomarkers may serve as an entry point for subsequent research and are of great significance.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-04-28
DOI
https://doi.org/10.3389/fgene.2025.1587854
Citations
2
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
1.61
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article

Shared genetic features inference among hypoxia-ischemia diseases in the presence of heterogenous omics data based on a novel risk assessment method

Mingyan Fang, Zhuoma Basang, Shaogang Li, Qiqi Yang et al.
2 citations
Frontiers in Genetics
Mitochondrial Function and Pathology
1.61
article

Shared genetic features inference among hypoxia-ischemia diseases in the presence of heterogenous omics data based on a novel risk assessment method

Mingyan Fang, Zhuoma Basang, Shaogang Li, Qiqi Yang, Changgui Lei, Hongce Chen, Jianfeng Liu, Shuo Chen, Yifan Zhang, Huanhuan Liu, Xin Jin, Yingying Wang
article en
2 citations

Abstract

The hypoxia-ischemia (H-I) diseases share some common mechanisms which may help to delay the diseases' processing. However, the shared features are still unclear due to the lack of large scale high-quality multi - omics data that specifically target the same disease, population, and tissues/cells. In this study, we developed a novel risk assessment method to analyze four H-I diseases including eclampsia/preeclampsia (PE), pulmonary arterial hypertension (PAH), high-altitude polycythemia (HAPC), and ischemic stroke (IS). A combined new evaluation score was designed to integrate evaluation information from genomics, transcriptomics, proteomics, and metabolomics in previous researches. Genes were then divided into different groups according to their risk assessment score. The most significant group (direct biomarkers) contained genes with direct evidence of association to H-I disease: <i>PIEZO2</i> and <i>HPGD</i> (shared), <i>TSIX</i> and <i>SAA1</i> (PAH - specific), <i>GSTM1</i>, <i>DNTT</i>, and <i>IGKC</i> (HAPC - specific), <i>LEP</i>, <i>SERPINA3</i>, and <i>ARHGEF4</i> (PE - specific), <i>CD3D</i>, <i>ITK</i>, and <i>RPL18A</i> (IS - specific). The groups 'Intermediate crucial biomarkers' contained genes played important roles in H-I disease related biological processes: <i>CXCL8</i> (shared), <i>HBG2</i>, <i>GRIN2A</i>, and <i>FGFBP1</i> (PAH - specific), <i>FAM111B</i> (HAPC - specific), <i>C12orf39</i> and <i>SLAMF1</i> (PE - specific). The genes lacking disease-association evidence but with similar characteristics with the above two groups were considered as 'potential minor-effect biomarkers': are <i>SRRM2 - AS1</i> (shared), <i>ATP8A1</i> (PAH - specific), <i>RXFP1</i> and <i>HJURP</i> (HAPC - specific), <i>HIST1H1T</i> (PE - specific). With the development of biological experiments, these intermediate crucial and potential minor-effect biomarkers may be proved to be direct biomarkers in the future. Therefore, these biomarkers may serve as an entry point for subsequent research and are of great significance.

Frontiers in GeneticsVol. 16
BGI Group (China) (CN), Tibet University (CN), Sun Yat-sen University (CN), Shenzhen University (CN), University of Chinese Academy of Sciences (CN), BGI Research (CN), Eighth Affiliated Hospital of Sun Yat-sen University, Hunan Agricultural University (CN), Lanzhou University (CN), South China University of Technology (CN)
Openalex Percentile: Top 18%
Mitochondrial Function and Pathology
1.61
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