# Application of Thyroid Hormones in Women’s Hair for the Non-Invasive Prediction of Graves’ Disease

**Authors:** Kouhei Igarashi, Chie Takita, Masako Matsumoto, Wataru Kitagawa, Atsuko Ota, Naoko Miyazaki, Koichi Ito, Kazutaka Ikeda

PMC · DOI: 10.3390/biom15030353 · Biomolecules · 2025-02-28

## TL;DR

This study shows that thyroid hormone levels in women's hair can accurately predict Graves' disease, offering a non-invasive and accessible screening method.

## Contribution

A non-invasive method using hair samples to predict Graves' disease with high accuracy is introduced.

## Key findings

- Hair thyroid hormone levels strongly correlate with blood levels in Graves' disease patients.
- FT3 in hair achieved an AUC of 0.974 with high sensitivity and specificity for predicting GD.
- Hair-based screening is feasible for large-scale use due to ease of storage and transport.

## Abstract

Graves’ disease (GD) is an autoimmune disorder that can be difficult to distinguish from other diseases due to symptom similarity. The exacerbation of GD owing to delayed diagnosis is a serious issue, and a novel accessible health screening system is needed. Therefore, this study investigated the association between GD and thyroid hormone levels in women’s hair and evaluated the prediction accuracy of this non-invasive type of sample. By optimizing pretreatment and analysis techniques using liquid chromatography–mass spectrometry (LC-MS), free triiodothyronine (FT3) and thyroxine (FT4) could be detected in only 2 mg of hair with high sensitivity. Compared with healthy controls, the thyroid hormone levels in the hair of GD patients were significantly higher in correlation with blood levels. The predictive ability of hair thyroid hormones was analyzed using a receiver operating characteristic (ROC) curve, and the optimal cut-off value was determined via the Youden index. As a result, the area under the curve (AUC) was 0.974 (95% confidence interval (CI): 0.935–1.000) for FT3 and 0.900 (95% CI: 0.807–0.993) for FT4. The cut-off value was 0.133 pg/mg (sensitivity: 91.2%; specificity: 100%; positive predictive value (PPV): 100%; negative predictive value (NPV): 76.9%) for FT3 and 0.067 pg/mg (sensitivity: 70.6%; specificity: 100%; PPV: 100%; NPV: 50.0%) for FT4. Collectively, our new approach offers the possibility of accurately and non-invasively detecting GD using hair samples. Since hair can be stored and transported at room temperature, this system facilitates large-scale screening at locations including hair salons and homes, potentially enabling the early determination of GD outside of medical facilities.

## Linked entities

- **Chemicals:** thyroxine (PubChem CID 853)
- **Diseases:** Graves’ disease (MONDO:0005364)

## Full-text entities

- **Diseases:** autoimmune disorder (MESH:D001327), GD (MESH:D006111)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11940391/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC11940391/full.md

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Source: https://tomesphere.com/paper/PMC11940391