ArticleScientific reports2018
Tear Proteins Calcium binding protein A4 (S100A4) and Prolactin Induced Protein (PIP) are Potential Biomarkers for Thyroid Eye Disease.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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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.
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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.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Multi-Omics Approaches to Discover Biomarkers of Thyroid Eye Disease: A Systematic Review.International journal of biological sciences · 2024Pooled it
- Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review).International journal of molecular sciences · 2022Pooled it
- A systematic review of multimodal clinical biomarkers in the management of thyroid eye disease.Reviews in endocrine & metabolic disorders · 2022Pooled it
- Comparison of tear proteomic and neuromediator profiles changes between small incision lenticule extraction (SMILE) and femtosecond laser-assisted in-situ keratomileusis (LASIK).Journal of advanced research · 2021Trial
- Review
- High-Throughput Tear Proteomics Reveals Multi-Faceted Signatures of Thyroid Eye Disease.Investigative ophthalmology & visual science · 2025Article
- The ocular surface tear film as a biomarker for systemic health.The ocular surface · 2025Review
- Metabolomic Profiling of Ocular Fluid Identifies Host Response Factors for Risk Stratification in Bacterial Endophthalmitis.Investigative ophthalmology & visual science · 2025Article
- Assessment of disease activity in Graves' orbitopathy.Frontiers in ophthalmology · 2025Review
- Nanohydroxyapatite Coating Attenuates Fibrotic and Immune Responses to Promote Keratoprosthesis Biointegration in Advanced Ocular Surface Disorders.ACS applied materials & interfaces · 2024Article
- Screening of pathologically significant diagnostic biomarkers in tears of thyroid eye disease based on bioinformatic analysis and machine learning.Frontiers in cell and developmental biology · 2024Article
- A combined transcriptomics and proteomics approach reveals S100A4 as a potential biomarker for Graves' orbitopathy.Frontiers in genetics · 2024Article
- Molecular Biomarkers in Thyroid Eye Disease: A Literature Review.Ophthalmic plastic and reconstructive surgery · 2023Review
- Review
- Review
- Recent advances in graves ophthalmopathy medical therapy: a comprehensive literature review.International ophthalmology · 2023Review
- Preliminary proteomic analysis of human tears in lacrimal adenoid cystic carcinoma and pleomorphic adenoma.International journal of ophthalmology · 2023Article
- The association between altered intestinal microbiome, impaired systemic and ocular surface immunity, and impaired wound healing response after corneal alkaline-chemical injury in diabetic mice.Frontiers in immunology · 2023Article
- Tear proteomics analysis of patient suffered from delayed mustard gas keratopathy.Proteome science · 2022Article
- Fluorescence Sensing Technologies for Ophthalmic Diagnosis.ACS sensors · 2022Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are no reliable biomarkers to predict thyroid eye disease (TED) in patients with autoimmune thyroid disease (AITD) currently. Several evidences support the involvement of the lacrimal gland in TED. The aim of our study was to quantitatively correlate the changes in tear protein profile with increasing severity of TED. Tear samples were collected from four groups of patients; AITD without TED (AITD), AITD with mild TED (mild TED), AITD with severe TED (severe TED) and normal controls. A total of 72 patients were recruited for the study. In discovery phase, isobaric tags for relative and absolute quantification (iTRAQ) 4-plex was used for quantitative proteomics analysis. For verification of results from discovery phase, sequential window acquisition of all theoretical fragment ion spectra (SWATH) was used to analyze an independent cohort from normal controls, AITD, mild TED and severe TED. Two proteins, S100A4 and PIP showed consistent dysregulation trends in the discovery and validation phase experiments. Our study demonstrated the differences in tear proteome across the spectrum of different severity and activity of TED in patients with AITD. Two tear proteins, S100A4 and PIP may serve as potential biomarkers to predict progression to severe TED in patients with AITD.
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Registered trials
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