황윤아 교수
Yun Ah Hwang
연세대학교 내과 · 의학
연구실 소개
황윤아 교수의 연구실은 갑상선 종양의 정밀 진단을 위한 비침습적 분자 생물학적 지표 개발과 함께, 내분비계 질환, 특히 갑상선암, 비만성 간질환, 뇌하우머 종양 등에서의 비암성 RNA, 특히 장숙성 비코딩 RNA(lncRNA)의 기능과 진단적 임상적 의의를 탐구하고 있습니다. 또한 성장호르몬 결핍, 비만성 간질환 등 내분비 대사 이상과의 연관성 연구를 통해 종합적인 내분비질환의 분자 기전을 규명하고자 합니다. 최근에는 암 치료가 뒤이은 내분비 기능 이상의 발생 메커니즘에 대해서도 관심을 기울이며, 개인화 의료에 기여할 수 있는 생물학적 지표 발굴을 지속하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Objective: Improved molecular testing for common somatic mutations and the identification of mRNA and microRNA expression classifiers are promising approaches for the diagnosis of thyroid nodules. However, there is a need to improve the diagnostic accuracy of such tests for identifying thyroid cancer. Recent findings have revealed a crucial role of long non-coding RNAs (lncRNAs) in gene modulation. Thus, we aimed to evaluate the diagnostic value of selected lncRNAs from The Atlas of Noncoding RN
Objective: Non-alcoholic fatty liver disease (NAFLD) is characterized by growth hormone deficiency (GHd). We investigated the association between NAFLD and GHd in patients with nonfunctioning pituitary adenomas (NFPA). Design and methods: We recruited patients with NFPA who underwent transsphenoidal adenectomy between January 2005 and December 2018. Pituitary function was determined by the insulin tolerance test, thyroid hormone assay, and gonadal hormone levels. NAFLD was defined as a hepatic s
Abstract Disclosure: K. Kim: None. Y. Hwang: None. M. Yu: None. S. Moon: None. N. Hong: None. Y. Rhee: None. Multiple Endocrine Neoplasia Type 1 (MEN1) is one of the rarest endocrine disorders, with a scarcity of comprehensive epidemiological data globally. This deficiency in data is even more pronounced in Asian populations, where MEN1 remains an under-researched area. Therefore, our aim is to identity the prevalence, demographic characteristics, and patterns of comorbidities associated with ME
Abstract Disclosure: K. Kim: None. Y. Hwang: None. M. Yu: None. S. Moon: None. N. Hong: None. Y. Rhee: None. Multiple Endocrine Neoplasia Type 1 (MEN1) is one of the rarest endocrine disorders, with a scarcity of comprehensive epidemiological data globally. This deficiency in data is even more pronounced in Asian populations, where MEN1 remains an under-researched area. Therefore, our aim is to identity the prevalence, demographic characteristics, and patterns of comorbidities associated with ME
Abstract Aging plays a critical role in the progression of invasive neuroendocrine tumors (NETs) through mechanisms such as extracellular matrix remodeling, immune evasion, and cellular senescence. However, the influence of aging on pituitary neuroendocrine tumors (PitNETs) remains largely unexplored due to the absence of pituitary-specific aging studies. To address this gap, we investigated age-associated transcriptional changes in the normal pituitary as a foundation for understanding PitNET p
Abstract Disclosure: Y. Hwang: None. H. Lee: None. S. Ahn: None. E. Lee: None. C. Ku: None. S. Kim: None. Objective: We investigated the association between nonalcoholic fatty liver disease (NAFLD) and growth hormone deficiency (GHD) in patients with non-functioning pituitary adenoma (NFPA). Methods: Patients with NFPA who underwent transsphenoidal adenectomy between January 2005 and December 2018 were recruited. Pituitary function was determined by the insulin tolerance test, thyroid hormone as
Abstract Disclosure: D. Kim: None. Y. Hwang: None. S. Park: None. H. Jang: None. J. Rim: None. S. Lee: None. Y. Rhee: None. Background: The rapid advancement of clinical cancer drug development, particularly in immunotherapy, targeted therapies, antibody-based treatments, and personalized medicine, aims to improve efficacy and precision. However, the condition of cancer patients and their treatments can often impact endocrine function testing, complicating result interpretation.Clinical Cases: A
Background: Multiple endocrine neoplasia type 1 (MEN1) is a rare hereditary disorder characterized by multiorgan endocrine tumors, primarily affecting the parathyroid glands, pituitary, and pancreas. Despite its clinical significance, the epidemiology and outcomes of clinically suspected MEN1 in Asian populations remain limited. This study aimed to investigate the prevalence, comorbidities, and mortality risk associated with clinically suspected MEN1 in South Korea. Methods: We conducted a retro
Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
Abstract Disclosure: R.J. Auchus: Corcept Therapeutics, received grants and personal fees, Crinetics Pharmaceuticals, received grants and personal fees, Diurnal Ltd, received grants and personal fees, Neurocrine Biosciences, received grants and personal fees, Sparrow Pharmaceuticals, received grants and personal fees, Spruce Biosciences, received grants and personal fees, Recordati Rare Diseases, received grants and personal fees, Xeris Pharmaceuticals, received grants and personal fees, Adrenas
A pyriform sinus tract/fistula is a rare clinical condition where remnants of the third or fourth pharyngeal pouches extend into the pyriform sinus, forming an internal tract. Common initial presentations of pyriform sinus tract/fistulas are cervical cystic masses in neonates or cervical infections in children but there have been a few reported cases of incidental detection of pyriform sinus tracts in adults. A 62-year-old man was referred from a local clinic for evaluation of a hypoechoic thyro
Abstract Disclosure: K. Kim: None. M. Yu: None. Y. Hwang: None. Y. Rhee: None. Multiple Endocrine Neoplasia Type 1-associated Primary Hyperparathyroidism (MEN1-PHPT) is a rare but significant endocrine disorder with high recurrence rates and increased systemic complications. Despite its distinct pathophysiology from sporadic PHPT, large-scale studies on MEN1-PHPT are limited. This study evaluates clinical patterns and complication risks in MEN1-PHPT using nationwide cohort data from the Korean N
INTRODUCTIONWe recently developed a deep convolutional neural network algorithm (SEveRance Artificial intelligence program, SERA) using 13,560 ultrasound images of thyroid nodules labeled benign and malignant and this algorithm showed comparable diagnostic performance with experienced radiologists. We assessed whether the self-learning method similar to deep learning could be adapted for human learning as an ancillary approach to one-on-one education. METHODOLOGYTwenty-one internal medicine resi
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