2021 Fiscal Year Final Research Report
Elucidation of the pathogenesis of aldosterone producing adenomas focusing on metabolic characteristics and establishment of a new diagnostic method
| Project/Area Number |
20K17493
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 54040:Metabolism and endocrinology-related
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2022-03-31
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| Keywords | アルドステロン / 原発性アルドステロン症 / 副腎 / 高血圧 / シングセル解析 / RNA-seq / 次世代シークエンサー / メタボローム解析 |
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| Outline of Final Research Achievements |
In this study, we focused on the metabolic characteristics of aldosterone producing adenomas and aimed to elucidate the pathogenesis underlying the diversity and its clinical significance using metabolomic analysis of blood and integrated omics analysis of tissue. Immunohistochemistry, RNA-seq, metabolomics, and imaging mass microscopy analysis confirmed heterogeneous steroid synthesis within the tumor, suggesting functional heterogeneity in metabolic properties. We established a predictive model for aldosterone producing adenoma diagnosis using machine learning, and then built an explanatory model to visualize the postoperative prognosis of patients with aldosterone producing adenomas.
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| Free Research Field |
内分泌代謝
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| Academic Significance and Societal Importance of the Research Achievements |
アルドステロン産生腺腫における代謝特性の多様性に関する病態解明がなされておらず、臨床的意義も十分に確立していないため、医学応用が進んでいなかった。そのため、本研究で行なったメタボローム解析と腫瘍組織の統合解析からアルドステロン産生腺腫の成因解明の進歩が得られた。さらに、機械学習に基づく診断モデルの構築により臨床医学応用への基盤となる成果が得られた。
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