Serum protein profiles as potential biomarkers for infectious disease status in pigs

<p>Abstract</p> <p>Background</p> <p>In veterinary medicine and animal husbandry, there is a need for tools allowing the early warning of diseases. Preferably, tests should be available that warn farmers and veterinarians during the incubation periods of disease and before the onset of clinical signs. The objective of this study was to explore the potential of serum protein profiles as an early biomarker for infectious disease status. Serum samples were obtained from an experimental pig model for porcine circovirus-associated disease (PCVAD), consisting of Porcine Circovirus type 2 (PCV2) infection in combination with either Porcine Parvovirus (PPV) or Porcine Reproductive and Respiratory Syndrome virus (PRRSV). Sera were collected before and after onset of clinical signs at day 0, 5 and 19 post infection. Serum protein profiles were evaluated against sera from non-infected control animals.</p> <p>Results</p> <p>Protein profiles were generated by SELDI-TOF mass spectrometry in combination with the Proteominer™ technology to enrich for low-abundance proteins. Based on these protein profiles, the experimentally infected pigs could be classified according to their infectious disease status. Before the onset of clinical signs 88% of the infected animals could be classified correctly, after the onset of clinical sigs 93%. The sensitivity of the classification appeared to be high. The protein profiles could distinguish between separate infection models, although specificity was moderate to low. Classification of PCV2/PRRSV infected animals was superior compared to PCV2/PPV infected animals. Limiting the number of proteins in the profiles (ranging from 568 to 10) had only minor effects on the classification performance.</p> <p>Conclusions</p> <p>This study shows that serum protein profiles have potential for detection and identification of viral infections in pigs before clinical signs of the disease become visible.</p

Overexpression of β2-microglobulin is associated with poor survival in patients with oral cavity squamous cell carcinoma and contributes to oral cancer cell migration and invasion

β2-Microglobulin (β2M), a component of MHC class I molecules, is believed to be associated with tumour status in various cancers. In this study, we examined the expression of β2M at different malignant stages of oral cavity squamous cell carcinoma (OCSCC). To determine the possible correlation between β2M expression and various clinical characteristics, 256 samples from patients with OCSCC were evaluated by immunohistochemical staining. Strong β2M expression was significantly correlated with a relatively advanced tumour stage (P<0.001), positive nodal status (P<0.001), and TNM stage (P<0.001). The cumulative 5-year survival rate was significantly correlated with a relatively advanced tumour stage (P<0.001), positive nodal status (P<0.001), TNM stage (P<0.001), and strong expression of β2M (P<0.001). Thus, elevated β2M expression is an indicator of poor survival (P<0.001). In addition, we extended our analysis of β2M expression to the FaDu and SCC25 oral cancer cell lines. β2-Microglobulin expression was positively correlated with cell migration and invasion in β2M-overexpressing transfectants in Transwell chambers. The suppression of β2M expression using small interfering RNA (siRNA) was sufficient to decrease cell migration and invasion in vitro. Taken together, our results suggest that β2M expression in the tissues is associated with survival and may be involved in tumour progression and metastasis in OCSCC

Prediction of poor clinical outcome in vascular cognitive impairment: TRACE-VCI study

10.1002/dad2.12077Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring121e12077