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Multiomics Approach to Acromegaly: Unveiling Translational Insights for Precision Medicine
DC Field | Value | Language |
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dc.contributor.author | 구철룡 | - |
dc.contributor.author | 이은직 | - |
dc.contributor.author | 김경원 | - |
dc.date.accessioned | 2023-11-28T03:06:32Z | - |
dc.date.available | 2023-11-28T03:06:32Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.issn | 2093-596X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/196732 | - |
dc.description.abstract | The clinical characteristics and prognoses of acromegaly vary among patients. Assessment of current and novel predictors can lead to multilevel categorization of patients, allowing integration into new clinical guidelines and a reduction in the increased morbidity and mortality associated with acromegaly. Despite advances in the diagnosis and treatment of acromegaly, its pathophysiology remains unclear. Recent advancements in multiomics technologies, including genomics, transcriptomics, proteomics, metabolomics, and radiomics, have offered new opportunities to unravel the complex pathophysiology of acromegaly. This review comprehensively explores the emerging role of multiomics approaches in elucidating the molecular landscape of acromegaly. We discuss the potential implications of multiomics data integration in the development of novel diagnostic tools, identification of therapeutic targets, and the prospects of precision medicine in acromegaly management. By integrating diverse omics datasets, these approaches can provide valuable insights into disease mechanisms, facilitate the identification of diagnostic biomarkers, and identify potential therapeutic targets for precision medicine in the management of acromegaly. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Korean Endocrine Society | - |
dc.relation.isPartOf | Endocrinology and Metabolism(대한내분비학회지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Acromegaly* / diagnosis | - |
dc.subject.MESH | Acromegaly* / genetics | - |
dc.subject.MESH | Acromegaly* / therapy | - |
dc.subject.MESH | Genomics | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Multiomics | - |
dc.subject.MESH | Precision Medicine | - |
dc.subject.MESH | Proteomics | - |
dc.title | Multiomics Approach to Acromegaly: Unveiling Translational Insights for Precision Medicine | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Kyungwon Kim | - |
dc.contributor.googleauthor | Cheol Ryong Ku | - |
dc.contributor.googleauthor | Eun Jig Lee | - |
dc.identifier.doi | 10.3803/enm.2023.1820 | - |
dc.contributor.localId | A00201 | - |
dc.contributor.localId | A03050 | - |
dc.relation.journalcode | J00773 | - |
dc.identifier.eissn | 2093-5978 | - |
dc.identifier.pmid | 37828709 | - |
dc.subject.keyword | Acromegaly | - |
dc.subject.keyword | Growth hormone-secreting pituitary tumors | - |
dc.subject.keyword | Multiomics | - |
dc.contributor.alternativeName | Ku, Cheol Ryong | - |
dc.contributor.affiliatedAuthor | 구철룡 | - |
dc.contributor.affiliatedAuthor | 이은직 | - |
dc.citation.volume | 38 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 463 | - |
dc.citation.endPage | 471 | - |
dc.identifier.bibliographicCitation | Endocrinology and Metabolism(대한내분비학회지), Vol.38(5) : 463-471, 2023-10 | - |
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