Evidence map›Paper›PMID 41279604›Full record

ArticlebioRxiv : the preprint server for biology2025

Sex differences in thyroid aging and their implications in thyroid disorders: insights from gene regulatory networks.

Enakshi Saha, Marouen Ben-Guebila, Chen Chen, Viola Fanfani, Katherine Hoff Shutta, Dawn L DeMeo, John Quackenbush, Camila M Lopes-Ramos

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Enakshi SahaDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC 29208, USA.ORCID 0000-0003-2938-539X
Marouen Ben-GuebilaDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Chen ChenDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Viola FanfaniDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Katherine Hoff ShuttaDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA 02115.
John QuackenbushDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-2702-5879
Camila M Lopes-RamosDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0003-0284-7371

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SILVERMAN, EDWIN K · 2013 to 2025
$24.9M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
WebMeV: A Robust Platform for Intuitive Genomic Data AnalysisU24CA231846 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2019 to 2023
$3.2M
Networks Tools to Understand Sex- and Gender-Specific Drivers of DiseaseR01HG011393 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L, QUACKENBUSH, JOHN · 2021 to 2024
$2.1M
Mentoring in Patient Oriented Research in Lung Disease through the Lens of Sex as a Biological VariableK24HL171900 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DAWN L DEMEO · 2024 to 2026
$386k
Resolving phenotypic overlap in renal carcinoma subtypes using multi-tiered network methodsK25CA297149 · NCI · DANA-FARBER CANCER INST · PI Marouen Ben Guebila · 2025 to 2026
$340k
Sex chromosome gene regulatory networks and COPDK01HL166376 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOPES-RAMOS, CAMILA · 2023 to 2024
$324k
NCI NIH HHS K25 CA297149NCI NIH HHS P50 CA127003NCI NIH HHS R35 CA220523NCI NIH HHS U24 CA231846NHGRI NIH HHS R01 HG011393NHLBI NIH HHS K01 HL166376NHLBI NIH HHS K24 HL171900NHLBI NIH HHS P01 HL114501NHLBI NIH HHS T32 HL007427
6 · The paper itself

Abstract

Objective: Most, if not all, thyroid disorders are more prevalent in females than males. However, sex differences in thyroid disease risk varies with age, e.g. although the risk of anaplastic thyroid carcinoma (ATC), the most aggressive form of thyroid cancer, increases with age for both sexes, age of diagnosis for most thyroid cancers is lower for females than males. In contrast, the risk of Hashimoto's thyroiditis (HT), an autoimmune condition, is higher in ages 30-50 than older age groups, and females have a higher risk than males at any given age. These age- and sex-dependent variations suggest that thyroid aging is a sex-biased process, where gene regulatory patterns evolve with age differentially between sexes. Yet the underlying molecular mechanisms remain poorly understood. Methods: To characterize sex-specific aging-related changes in gene regulation in healthy thyroid and disease, we constructed individual-specific gene regulatory networks using a two-step approach. First, we estimated gene-gene co-expression networks for each individual using BONOBO. Second, we integrated these networks with sex-specific transcription factor (TF) motif data and protein-protein interaction priors using PANDA to infer individual-level TF-driven gene regulatory networks. Results: We found that within normal thyroid, regulatory patterns of cancer-related genes and biological pathways involved in cell proliferation, immune response, and metabolic processes vary by age in a nonlinear manner. However, the direction and rate of age-related changes differ between sexes. In females we detect two inflection points around ages 40 and 60, when the gene regulatory patterns in healthy thyroid show significant change for most pathways. This drastic change in gene regulatory networks is mostly driven by estrogen and androgen receptor TFs. To understand how aging-related changes in gene regulation drive risk of thyroid disorders, we investigated two diseases that have known sex- and age-specific differences: HT and ATC. We observed that in ATC, disease-relevant immune and metabolic pathways change with age in the same direction as they change in disease. In contrast, in HT, disease-related pathway targeting patterns are in the opposite direction of those in aging. Moreover, in age groups where HT is most diagnosed, TF-targeting patterns of disease-associated immune, metabolic and cell proliferation pathways in females were closer towards the disease state than in males, emphasizing the influence of sex-biased regulatory patterns in increasing thyroid disease risk in females. Conclusion: In thyroid tissue, genes related to immune response and metabolic processes, are regulated by TFs in an age- and sex-biased manner. These age- and sex-specific gene regulatory variations may contribute to the variation in risk of thyroid conditions with age and an overall higher risk of diseases in females compared to males, thus emphasizing the need for tailored screening and prevention strategies.

Identifiers

PMID41279604
PMCPMC12636590

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.