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Background/Objectives: Saliva is gaining importance as a diagnostic sample in pigs. The aim of this research was to evaluate a panel of salivary analytes in three porcine diseases and establish predictive models to detect them. Methods: Saliva samples were obtained from healthy pigs (n = 97) and pigs affected by meningitis due to Streptococcus suis (n = 118), diarrhea due to enterotoxigenic Escherichia coli (ETEC, n = 77), and porcine reproductive and respiratory syndrome (PRRS, n = 52). The following biomarkers were analyzed: adenosine deaminase (ADA), haptoglobin (Hp), calprotectin (Calp), aldolase, alpha-amylase (sAA), lactate dehydrogenase (LDH), total protein (TP), and advanced oxidation protein products (AOPPs). Predictive models based on binary logistic regression and decision trees combining those analytes for detecting specific diseases were constructed. Results: The results showed a different biomarker profile between the groups. S. suis and ETEC pigs showed higher values of ADA, Hp, Calp, aldolase, sAA, LDH, and TP than healthy pigs. Pigs with PRRS showed higher values of Hp, Calp, sAA, and LDH than healthy animals. The constructed predictive models showed overall accuracies of over 78% and 87% for differentiating ETEC and PRRS, respectively, whereas the models did not accurately predict S. suis infection. Conclusions: Salivary analytes show different changes in pigs depending on the disease, and the combination of these analytes can contribute to the prediction of different diseases. Further studies should be conducted in larger populations to confirm these findings and evaluate their possible practical applications. [ABSTRACT FROM AUTHOR]

Objective: Patients with endometriosis are at increased risk of ovarian cancer. It has been suggested that atypical endometriosis is a precursor lesion of endometriosis-associated ovarian cancer (EAOC). The aim of this study is to evaluate if cytologic (cellular) atypia and architectural atypia (hyperplasia), histologic findings described as atypical endometriosis, play a different role in patients with EAOC. Methods: A prospective study was conducted between January 2014 and April 2017 at our institution with patients undergoing surgery with a histologic diagnosis of endometriosis, ovarian cancer, or EAOC. The prevalence and immunohistologic study (Ki-67, BAF250a, COX-2) of cases of cellular and architectural atypia in endometriosis were analyzed. Results: Two hundred and sixty-six patients were included: the diagnosis was endometriosis alone in 159 cases, ovarian cancer in 81, and EAOC in 26. Atypical endometriosis was reported in 23 cases (12.43%), 39.13% of them found in patients with EAOC. Endometriosis with cellular atypia was found mainly in patients without neoplasm (71.4%), and endometriosis with architectural atypia was seen in patients with ovarian cancer (88.9%) (p=0.009). Ki-67 was significantly higher in endometriosis patients with architectural atypia than those with cellular atypia. Conclusion: The diagnosis of endometriosis with architectural atypia is important because it may be a precursor lesion of ovarian cancer; therefore, pathologists finding endometriosis should carefully examine the surgical specimen to identify any patients with hyperplasia-type endometriosis, as they may be at higher risk of developing EAOC. [ABSTRACT FROM AUTHOR]