Evidence map›Paper›PMID 41763325›Full record

ArticleJournal of affective disorders2026

Thyroid dysfunction and Research Domain Criteria framework-based depression phenotypes: Insights from a historical longitudinal cohort.

Rakesh Kumar, Vanessa K Pazdernik, Marius N Stan, Vishnu Sundaresh, Mark A Frye, Balwinder Singh

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Article in Journal of affective disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Rakesh KumarDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Vanessa K PazdernikDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Marius N StanDivision of Endocrinology, Diabetes, Metabolism, Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Vishnu SundareshDivision of Endocrinology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Mark A FryeDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Balwinder SinghDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA. Electronic address: singh.balwinder@mayo.edu.

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Institutional Career Development CoreKL2TR002379 · NCATS · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2017 to 2026
$14.9M
NCATS NIH HHS KL2 TR002379NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

backgroundDepression is a clinically heterogeneous disorder, making it difficult to identify its biological underpinnings, including potential links to dysregulation of the hypothalamic-pituitary-thyroid axis, which plays a central role in the pathophysiology of depression. The Research Domain Criteria (RDoC) framework provides a multi-dimensional approach to parsing depressive phenotypes. This study investigates the association between thyroid-stimulating hormone (TSH) abnormalities and depressive symptoms mapped to RDoC domains.

methodsIn a retrospective cohort from 2000 to 2021, adults with euthymic (PHQ-9 < 5) and euthyroid (TSH >0.3-4.2 mIU/L) baseline status and at least two TSH-PHQ-9 paired assessments within six months were included. PHQ-9 items were mapped to four RDoC-aligned domains: Negative Valence-Externalizing, Negative Valence-Internalizing, Arousal/Regulatory (AR) Systems, and Cognitive/Sensorimotor (CS) Systems. Linear mixed-effects models adjusted for covariates were used to assess the association between subsequent TSH dysfunction (low TSH ≤0.3 mIU/L and high TSH >4.2 mIU/L) and domain scores.

resultsAmong 6191 adults (mean age, 50.2 years; 67% female; 92.4% White), abnormal TSH levels are associated with higher AR Systems scores, with higher mean AR scores for low TSH (2.54; 95% CI, 2.38-2.70) and high TSH (2.57; 95% CI, 2.44-2.69) compared with normal TSH (2.40; 95% CI, 2.29-2.50; p ≤ .04). No significant differences were found in other RDoC domains.

conclusionsOur findings support the utility of a biologically informed, dimensional framework in depression research. Elevated AR Systems symptoms in the context of abnormal TSH levels may suggest a possible narrower phenotype, with implications for personalized treatment if validated and further investigation into the thyroid-depression interface.

Indexed as

DepressionThyroid DiseasesThyrotropinAdultFemaleHumansHypothalamo-Hypophyseal SystemLongitudinal StudiesMaleMiddle AgedPhenotypeRetrospective StudiesThyrotropinDepressive phenotypesPHQ-9Research Domain Criteria (RDoC)Thyroid dysfunctionThyroid-stimulating hormone

Identifiers

PMID41763325
PMCPMC13182770

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