Screening and Validation of Novel Biomarkers in Osteoarticular Pathologies by Comprehensive Combination of Protein Array Technologies

Abstract

Osteoarthritis (OA) is one of the most prevalent articular diseases. The identification of proteins closely associated with the diagnosis, progression, prognosis, and treatment response is dramatically required for this pathology. In this work, differential serum protein profiles have been identified in OA and rheumatoid arthritis (RA) by antibody arrays containing 151 antibodies against 121 antigens in a cohort of 36 samples. Then the identified differential serum protein profiles have been validated in a larger cohort of 282 samples. The overall immunoreactivity is higher in the pathological situations in comparison with the controls. Several proteins have been identified as biomarker candidates for OA and RA. Most of these biomarker candidates are proteins related to inflammatory response, lipid metabolism, or bone and extracellular matrix formation, degradation, or remodeling.

Protein profiling and network enrichment analysis in individuals before and after the onset of rheumatoid arthritis

“…This observation is in line with our, and of other, previously reported altered lipid profile in pre-symptomatic individuals [51–53] as well as in patients with early arthritis [54]. In a previous study comparing RA patients, OA, and controls, lipid metabolism-related proteins differed (annexin/ANXA6 and phospholipid transfer protein/PLTP) between the groups [13]. Our group has previously shown differences in BMI and apolipoprotein alterations between pre-symptomatic individuals and matched controls [51]; however, in the present study, no impact of BMI was found in the included study groups.…”

“…It has a suggested role in the positioning of tight junctions during polarity in epithelial cells and has been identified in chronic skin disease—e.g., psoriatic vulgaris [41]. SLC11A1, another protein not included in any of the 50 hallmark gene sets, was shown by Sierra-Sanchez et al to be increased in RA patients than in controls, a finding that is in line with our findings of increased levels in RA patients compared with pre-symptomatic individuals [13]. For the transcription factor ZNF618, interestingly, the only description we found for this protein is that the ZNF618 gene itself is located within a susceptibility region for spondylarthritis [42].…”

Quantitative proteomic analyses in blood: A window to human health and disease

“…Proteomics approaches have been used extensively to study and improve diagnostics of a wide variety of diseases, including cardiovascular disease, neuromuscular diseases, gastric cancer, liver disease, lung disease, autoimmune diseases, and acute mountain sickness . Liu et al.…”

“…103 The surface glycan profile and changes during growth have also been assessed in intact bacteria, fungi, and mammalian cells using lectin arrays. 69 Proteomics approaches have been used extensively to study and improve diagnostics of a wide variety of diseases, including cardiovascular disease, 107 neuromuscular diseases, 108 gastric cancer, 109 liver disease, 110 lung disease, 111 autoimmune diseases, 112 and acute mountain sickness. 113 in muscular dystrophy patients.…”

The role of concentration on drop formation and breakup of collagen, fibrinogen, and thrombin solutions during inkjet bioprinting

“…Traditionally, surfactants such as Triton-X-100 and viscosity modifiers such as glycerol were used for successfully delivering droplets of various buffered protein solutions using inkjet printing. [6][7][8][9] However, surfactants and viscosity modifiers may not only interfere with the polymerization of collagen and fibrinogen, but are cytotoxic and immunogenic. [10][11][12][13][14] Hence, inkjet printing of collagen, fibrnogen, and thrombin solutions without the use surfacntants and viscosity modifiers is highly desired for tissue engineering applications.…”