Evidence map›Paper›PMID 40215267›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

A Preclinical State of Graves' Ophthalmopathy Characterized by Hypoxia of T-cells Identified via Multiomics Analysis.

Meng Zhang, Xin Qi, Xingchen Zhou, Yufeng Liu, Mingqian He, Jingya Wang, Ling Wang, Ziyi Chen, Simo Li, Yu Chen and 5 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

15 authors.

Meng ZhangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-4640-8891
Xin QiPrecision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Xingchen ZhouDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Yufeng LiuBiobank, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Mingqian HeDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Jingya WangDepartment of Gastroenterology, Xi'an Children's Hospital, Shaanxi Research Institute for Pediatric Diseases, The Affiliated Children's Hospital of Xi'an Jiaotong University and National Regional Medical Center for Children (Northwest), Xi'an 710003, China.
Ling WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Ziyi ChenLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Simo LiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Yu ChenDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Yushi SunDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Hui GuoDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Jin YangPrecision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-2538-5176
Bingyin ShiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0003-4627-5707
Yue WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-3992-3713

Funding

National Natural Science Foundation of China 82170805National Natural Science Foundation of China 82201238National Natural Science Foundation of China 82270827
6 · The paper itself

Abstract

contextA preclinical state of Graves' ophthalmopathy (pre-GO) exists during the progression from Graves' hyperthyroidism (GH) to GO.

objectiveTo distinguish the pre-GO state and identify key pathways of T-cell immunity.

methodsTwenty-four GH (without ophthalmopathy within 6-month follow-up), 10 pre-GO (ophthalmopathy occurred within 6-month follow-up), and 21 GO patients were enrolled, and the transcription and DNA methylation profiles of peripheral blood mononuclear cells were generated. The differentially expressed genes (DEGs), differentially methylated CpG sites (DMCs), and differentially methylated genes (DMGs) were identified. Cluster analysis, functional analysis, and data integration analysis using latent components (DIABLO) were performed to distinguish pre-GO and identify key pathways. Flow cytometry was performed for in vitro verification.

resultsIn total, 731, 1214, and 372 DEGs and 1583, 277, and 555 DMCs were detected via pairwise comparisons of GH vs GO, pre-GO vs GO, and GH vs pre-GO, respectively. DIABLO accurately discriminated the pre-GO state via 17 DMC and 11 DEG features ( receiver operating characteristic = 0.9975 and 0.9407, respectively). The functional analysis revealed that the DMGs and DEGs were enriched in T-cell differentiation pathways and related cytokine pathways, respectively. Further cluster analysis revealed a cluster of pre-GO-specific DEGs enriched in the hypoxia pathway. Flow cytometry confirmed that hypoxia promoted Th1, Th17, and antigen-specific CD4+ cytotoxic T-cell differentiation.

conclusionThe pre-GO state was identified from GH and GO and characterized by upregulation of the hypoxia pathway that may promote effector CD4+ T-cells differentiation. These findings provide new insight into the pathogenesis and prevention of GO.

Indexed as

Graves OphthalmopathyHypoxiaT-LymphocytesAdultCell HypoxiaDisease ProgressionDNA MethylationFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsGraves' ophthalmopathyhypoxiamultiomics analysispreclinical stateT-cells

Identifiers

PMID40215267
PMCPMC12623031

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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 OpenQuestion graph.