Neutrophil Gelatinase-Associated Lipocalin in Synovial Fluid from Horses with and without Septic Arthritis

An Equine Protein Atlas Highlights Synovial Fluid Proteome Dynamics during Experimentally LPS-Induced Arthritis

In human proteomics, substantial efforts are ongoing to leverage large collections of mass spectrometry (MS) fragment ion spectra into extensive spectral libraries (SL) as a resource for data independent acquisition (DIA) analysis. Currently, such initiatives in equine research are still missing. Here we present a large-scale equine SL, comprising 6394 canonical proteins and 89,329 unique peptides, based on data dependent acquisition analysis of 75 tissue and body fluid samples from horses. The SL enabled large-scale DIA-MS based quantification of the same samples to generate a quantitative equine protein distribution atlas to infer dominant proteins in different organs and body fluids. Data mining revealed 163 proteins uniquely identified in a specific type of tissue or body fluid, serving as a starting point to determine tissue-specific or tissue-type-specific proteins. We showcase the SL by highlighting proteome dynamics in equine synovial fluid samples during experimental lipopolysaccharide-induced arthritis. A fuzzy c-means cluster analysis pinpointed SERPINB1, ATRN, NGAL, LTF, MMP1, and LBP as putative biomarkers for joint inflammation. This SL provides an extendable resource for future equine studies employing DIA-MS.

Procalcitonin and carbonylated protein concentrations in equine synovial fluid

Early diagnosis of joint diseases is fundamental for prompt and appropriate management, particularly in septic arthritis. Procalcitonin (PCT) and protein carbonylated content (PCC) have been investigated in both human and veterinary medicine. An increase in PCT has been shown in infectious bacterial diseases, while higher levels of PCC have been shown in inflammatory pathologies characterized by oxidative damage. This study evaluated PCT and PCC in plasma and synovial fluid (SF), in healthy and pathological equine joints, affected by different types of arthropathy. Twenty-nine joints were evaluated and underwent orthopedic, radiographic, ultrasonographic and SF evaluation. The joints were divided in three groups: healthy, septic, and non-septic arthritis. PCT and PCC were measured in horse plasma and SF. Data distribution was evaluated and results were expressed as median, quartile values. Statistical differences in SF values among groups and correlations were assessed between plasma and SF of both PCT and PCC. The groups of joint disease included: 8/29 healthy, 13/29 non-septic and 8/29 septic. Significant differences were obtained for SF PCC and plasma PCT between healthy and septic joints, while no differences were found for plasma PCC and SF PCT. A positive correlation was found between plasma and SF PCT. To the best of our knowledge, this is the first study reporting PCT in equine SF. SF PCC could be a useful biomarker to differentiate between septic and healthy joints.