Clinical efficacy of multigene panels in the management of congenital hypothyroidism with gland in situ

Author:

Park Jisun12ORCID,Joo Eun Young12,Yoo Myung Ji1,Kim Su-Jin12,Jang Woori23ORCID,Lee Ji-Eun12ORCID

Affiliation:

1. Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of Korea

2. Gyeonggi-Incheon Regional Rare Disease Specialized Institution, Incheon, Republic of Korea

3. Department of Clinical Laboratory Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of Korea.

Abstract

Congenital hypothyroidism (CHT) is a diverse condition with various genetic etiologies. This study aimed to investigate the utility of next-generation sequencing (NGS) analysis in guiding treatment decisions and predicting prognosis for CHT patients with gland in situ (GIS). A retrospective analysis was conducted on 33 CHT patients with GIS who underwent NGS analysis at a single institution between 2018 and 2023. Patients were classified as having permanent (PCH), transient congenital hypothyroidism, or ambiguous congenital hypothyroidism (ACH) CHT based on their response to levothyroxine discontinuation at 3 years of age. Among the 33 patients, genetic variants were identified in 26, with the most prevalent variants found in DUOX2 (26.92%), TSHR (30.77%), TG (19.35%), and DUOXA2 (19.23%). Patients with high initial thyroid-stimulating hormone levels (>50 mIU/L) and low free thyroxine levels (<0.89 ng/dL) at diagnosis tended to have compound heterozygous or homozygous variants in DUOX2, DUOXA2, and TG, and were more likely to develop PCH. In contrast, patients with heterozygous variants in these genes often exhibited ACH. TSHR variants were associated with diverse clinical manifestations, ranging from PCH to ACH, and were more common in patients with initial thyroid-stimulating hormone levels <50 mIU/L. The study highlights the potential utility of NGS analysis in predicting the clinical course and guiding treatment decisions for CHT patients with GIS. Genetic analysis may aid in determining the appropriate duration of levothyroxine therapy and monitoring strategies, particularly in cases where traditional clinical indicators are inconclusive.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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