Evidence map›Paper›PMID 39687011›Full record

ArticleiScience2024

Developing the biomarker panels and drugs by proteomic analysis for autoimmune uveitis and posterior scleritis.

Xueru Li, Jinying An, Lingzi Wu, Qingqin Tao, Hui Zhang, Xiaomin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

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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

6 authors.

Xueru LiTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
Jinying AnTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
Lingzi WuBeijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
Qingqin TaoTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
Hui ZhangTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
Xiaomin ZhangTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune uveitis and posterior scleritis are ocular diseases caused by immune dysregulation. Their pathogenesis remains elusive, and delayed diagnosis can exacerbate vision loss. Our study analyzed proteomic profiles of 190 patients with Behcet's disease uveitis, posterior scleritis, and Vogt-Koyanagi-Harada syndrome. Bioinformatics methods revealed potential pathogenesis and biomarkers for the diseases, which were verified by enzyme-linked immunosorbent assay. The diagnostic accuracy was improved by constructing a biomarker combination. In addition, we used the Connectivity Map tool to analyze the differentially expressed proteins and identified small molecules with potential clinical applications. In this study, EMINIL1 and LYZ were identified as biomarkers for Behcet's uveitis, GSTP1 and PGLYRP1 for posterior scleritis, and APOH and STXBP1 for Vogt-Koyanagi-Harada syndrome. This study mapped the plasma proteins of these diseases, revealing potential pathogenesis and clinical applications of these biomarkers.

Indexed as

Biological sciencesHealth sciencesImmunologyMedical specialtyMedicineNatural sciencesPharmacology

Identifiers

PMID39687011
PMCPMC11647158

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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.