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A Network of Serum Proteins Predict the Need for Systemic Immunomodulatory Therapy at Diagnosis in Noninfectious Uveitis.


ABSTRACT:

Purpose

Early identification of patients with noninfectious uveitis requiring steroid-sparing immunomodulatory therapy (IMT) is currently lacking in objective molecular biomarkers. We evaluated the proteomic signature of patients at the onset of disease and associated proteomic clusters with the need for IMT during the course of the disease.

Design

Multicenter cohort study.

Participants

Two hundred thirty treatment-free patients with active noninfectious uveitis.

Methods

We used aptamer-based proteomics (n = 1305 proteins) and a bioinformatic pipeline as a molecular stratification tool to define the serum protein network of a Dutch discovery cohort (n = 78) of patients and healthy control participants and independently validated our results in another Dutch cohort (n = 111) and a United States cohort (n = 67). Multivariate Cox analysis was used to assess the relationship between the protein network and IMT use.

Main outcome measures

Serum protein levels and use of IMT.

Results

Network-based analyses revealed a tightly coexpressed serum cluster (n = 85 proteins) whose concentration was consistently low in healthy control participants (n = 26), but varied among patients with noninfectious uveitis (n = 52). Patients with high levels of the serum cluster at disease onset showed a significantly increased need for IMT during follow-up, independent of anatomic location of uveitis (hazard ratio, 3.42; 95% confidence interval, 1.22-9.5; P = 0.019). The enrichment of neutrophil-associated proteins in the protein cluster led to our finding that the neutrophil count could serve as a clinical proxy for this proteomic signature (correlation: r = 0.57, P = 0.006). In an independent Dutch cohort (n = 111), we confirmed that patients with relatively high neutrophil count at diagnosis (> 5.2 × 109/L) had a significantly increased chance of requiring IMT during follow-up (hazard ratio, 3.2; 95% confidence interval, 1.5-6.8; P = 0.002). We validated these findings in a third cohort of 67 United States patients.

Conclusions

A serum protein signature correlating with neutrophil levels was highly predictive for IMT use in noninfectious uveitis. We developed a routinely available tool that may serve as a novel objective biomarker to aid in clinical decision-making for noninfectious uveitis.

SUBMITTER: Kuiper JJW 

PROVIDER: S-EPMC9559086 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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A Network of Serum Proteins Predict the Need for Systemic Immunomodulatory Therapy at Diagnosis in Noninfectious Uveitis.

Kuiper Jonas J W JJW   Verhagen Fleurieke H FH   Hiddingh Sanne S   Wennink Roos A W RAW   Hansen Anna M AM   Casey Kerry A KA   Hoefer Imo E IE   Haitjema Saskia S   Drylewicz Julia J   Yakin Mehmet M   Sen H Nida HN   Radstake Timothy R D J TRDJ   de Boer Joke H JH  

Ophthalmology science 20220531 3


<h4>Purpose</h4>Early identification of patients with noninfectious uveitis requiring steroid-sparing immunomodulatory therapy (IMT) is currently lacking in objective molecular biomarkers. We evaluated the proteomic signature of patients at the onset of disease and associated proteomic clusters with the need for IMT during the course of the disease.<h4>Design</h4>Multicenter cohort study.<h4>Participants</h4>Two hundred thirty treatment-free patients with active noninfectious uveitis.<h4>Methods  ...[more]

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