Is tear proteome profile a predictor of developing uveitis in ANA-positive patients with oligoarticular juvenile idiopathic arthritis?

PURPOSE: Although less than one-third of anti-nuclear antibody (ANA) positive patients with oJIA develop uveitis, ANA positivity is still the most well-known marker for assessing the risk of uveitis in oligoarticular JIA (oJIA). Therefore, novel biomarkers are needed to better assess the risk of developing uveitis. For this purpose, we performed a comparative tear proteome analysis of uveitis patients to reveal the identity of differentially regulated proteins.

DESIGN

Tear samples were collected using the Schirmer strips in 7 oJIA and 7 oJIA patients with uveitis (oJIA-U). All oJIA-U patients had developed bilateral anterior uveitis and were inactive and topical treatment-free.

METHODS

The nHPLC LC-MS/MS system was used for protein identification and label-free proteome comparisons. The PANTHER and STRING analyses were carried out using UniProt accession numbers of the identified proteins.

RESULTS

Patient characteristics, e.g., age, gender, disease duration, and treatments were similar. For protein identification, three different databases were searched. Twenty-two, 147, and 258 database searches, respectively. Of these, 15 were common to all three proteome databases. Of these 15 proteins, 10 proteins were upregulated, and 2 were downregulated, based on the twofold regulation criteria. The upregulated proteins were, namely, cystatin-S, secretoglobin family 1D member, opiorphin prepropeptide, mammaglobin-B, lysozyme C, mesothelin, immunoglobulin kappa constant, extracellular glycoprotein lacritin, beta-2-microglobulin, and immunoglobulin J chain. The downregulated proteins were dermcidin and prolactin-inducible protein. Among the differentially regulated proteins, cystatin-S was the most regulated protein with an 18-fold upregulation ratio in tear samples from uveitis patients.

CONCLUSION

Here, the identities and regulation ratios of several proteins were revealed when tear samples from uveitis patients were compared to patients without uveitis. These proteins are putative biomarkers for assessing uveitis risk and require further attention.