Evidence map›Paper›PMID 39076009›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Novel Biomarkers Reveal Mismatch Between Tissue and Serum Thyroid Hormone Status in Amiodarone-Induced Hyperthyroidism.

Richárd Sinkó, Mónika Katkó, Géza Tóth, Gábor László Kovács, Orsolya Dohán, Tibor Fülöp, Patrício Costa, Beáta Dorogházi, Dóra Kővári, Endre V Nagy and 2 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Richárd SinkóLaboratory of Molecular Cell Metabolism, HUN-REN Institute of Experimental Medicine, Budapest 1083, Hungary.ORCID 0000-0002-5256-5412
Mónika KatkóDivison of Endocrinology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen 4002, Hungary.
Géza TóthDepartment of Internal Medicine, Saint Lazarus Hospital, Salgótarján 3100, Hungary.
Gábor László Kovács2nd Department of Internal Medicine, North-Pest Central Hospital, Budapest 1062, Hungary.
Orsolya DohánDepartment of Internal Medicine and Oncology, Semmelweis University, Budapest 1083, Hungary.
Tibor FülöpDepartment of Cardiology and Cardiac Surgery, Faculty of Medicine, University of Debrecen, Debrecen 4002, Hungary.
Patrício CostaLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga 4710-057, Portugal.
Beáta DorogháziLaboratory of Molecular Cell Metabolism, HUN-REN Institute of Experimental Medicine, Budapest 1083, Hungary.
Dóra KőváriLaboratory of Integrative Neuroendocrinology, HUN-REN Institute of Experimental Medicine, Budapest 1083, Hungary.
Endre V NagyDivison of Endocrinology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen 4002, Hungary.ORCID 0000-0002-9286-6471
Csaba FeketeLaboratory of Integrative Neuroendocrinology, HUN-REN Institute of Experimental Medicine, Budapest 1083, Hungary.ORCID 0000-0002-8206-562X
Balázs GerebenLaboratory of Molecular Cell Metabolism, HUN-REN Institute of Experimental Medicine, Budapest 1083, Hungary.ORCID 0000-0002-5727-8500

Funding

National Research, Development and Innovation Office of Hungary K125247Recovery and Resilience Facility of the European Union RRF-2.3.1-21-2022-00011
6 · The paper itself

Abstract

contextSerum thyrotropin and thyroid hormone (TH) levels are routine markers of thyroid function. However, their diagnostic performance is limited under special conditions, such as in amiodarone-induced hyperthyroidism (AIH). Such cases would require the assessment of tissue TH action, which is currently unfeasible.

objectiveDevelopment of an approach that determines how well serum parameters are reflected in tissue TH action of patients.

methodsTH-responsive marker genes were identified from human hair follicles (HFs) with next-generation sequencing, validated by quantitative polymerase chain reaction. A classification model was built with these markers to assess tissue TH action and was deployed on amiodarone-treated patients. The impact of amiodarone on tissue TH action was also studied in thyroid hormone action indicator (THAI) mice.

resultsThe classification model was validated and shown to predict tissue TH status of subjects with good performance. Serum- and HF-based TH statuses were concordant in hypothyroid and euthyroid amiodarone-treated patients. In contrast, amiodarone decreased the coincidence of serum-based and HF-based TH statuses in patients with hyperthyroidism, indicating that AIH is not unequivocally associated with tissue hyperthyroidism. This was confirmed in the THAI model, where amiodarone prevented tissue hyperthyroidism in THAI mice despite high serum free thyroxine.

conclusionWe developed a minimally invasive approach using HF markers to assess tissue TH economy that could complement routine diagnostics in controversial cases. We observed that a substantial proportion of patients with AIH do not develop tissue hyperthyroidism, indicating that amiodarone protects tissues from thyrotoxicosis. Assessing tissue TH action in patients with AIH may be warranted for treatment decisions.

Indexed as

AmiodaroneAnti-Arrhythmia AgentsBiomarkersHyperthyroidismThyroid HormonesAdultAnimalsFemaleHumansMaleMiceMiddle AgedThyroid Function TestsAmiodaroneAnti-Arrhythmia AgentsBiomarkersThyroid Hormonesamiodarone-induced hyperthyroidismthyroid hormonetissue biomarkertissue thyroid hormone economy

Identifiers

PMID39076009
PMCPMC11747679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.