Biology subjects

Domino, M.

Publications and source records attributed to Domino, M..

3 recordsLinked to original sources

bioRxiv2026

Evaluation of IGF1 and MKI67 mRNA expression in relation to histopathological features of equine endometrosis

Equine endometrosis is a major cause of subfertility in mares characterized by fibrotic remodeling of the endometrium. Present study evaluated endometrial relative abundance of mRNA transcript of IGF1, MKI67, TGFB1, and ACTA2 in relation to endometrosis severity and defined histopathological features. Forty-seven endometrial samples were graded according to the modified Kenney and Doig (KD) categories. Relative abundance of mRNA transcript was quantified by RT-qPCR and histopathology was extended using a standardized feature-based assessment. TGFB1 relative abundance of mRNA transcript was higher in category I+ than in category I and in samples with glandular basal lamina disruption. MKI67 relative abundance of mRNA transcript was lower in samples with luminal epithelial erosion. IGF1 relative abundance of mRNA transcript correlated negatively with KD category, glandular degeneration, overall inflammatory infiltration, lymphocytic infiltration, and neutrophilic infiltration. MKI67 correlated positively with ESR1. These findings indicate that early endometrosis-compatible lesions are associated with increased TGFB1 transcription and that epithelial damage is accompanied by reduced MKI67 abundance of mRNA. The inverse associations between IGF1 abundance of mRNA and both lesion severity and inflammatory infiltration support a link between histopathological changes and reduced expression of a growth factor.

pathology↗

bioRxiv2024

Accuracy of computed tomography in diagnosing temporomandibular joint osteoarthritis relative to histopathological findings - an ex-vivo study of 41 horses

Computed tomography (CT) is used to support the diagnosis of equine temporomandibular joint (TMJ) disease; however, its diagnostic accuracy remains unclear. This study aimed to evaluate the relationship between CT findings and histopathological manifestations of osteoarthritis (OA) in equine TMJs. 82 TMJs were CT-imaged, sampled, grouped into age-related and OA-related groups, and analyzed for frequency distributions, correlations, and CT-based TMJ OA diagnosis. CT findings were observed in 79% of joints, including CT anatomical variations considering to reflect age-related remodeling. Only 50% of joints showed co-occurrence of CT findings and histopathological manifestations of OA, confirming that not all CT findings are indicative of disease. Including all CT findings in the CT-based diagnosis of TMJ OA yielded a specificity of 0.41 (95% CI: 0.26-0.58), suggesting a high rate of false-positive diagnoses. Excluding all CT anatomical variations resulted in a sensitivity of 0.56 (95% CI: 0.40-0.72), indicating a substantial number of false-negative diagnoses. However, inclusion of specific CT anatomical variation - subchondral bone cysts - into the studied CT-based diagnosis increased sensitivity to 0.79 (95% CI: 0.62 to 0.89) while maintaining high specificity of 0.92 (95% CI: 0.80-0.98). Including this subset of CT findings in the diagnosis of equine TMJ OA may improve the accuracy of disease detection; however, the clinical relevance of the present cadaver investigation needs to be confirmed in in vivo studies.

pathology↗

bioRxiv2018

An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy.

The analysis of the uterine contraction have become a general practice in an effort to improve the clinical management of uterine contractions during pregnancy and labour in human beings. The fluctuations in uterine activity may occur without affecting progress of gestation, however the painful and fashion contractions may be the first threat of miscarriage. While pigs were considered as an referential preclinical model, the computational modelling of spontaneous myoelectrical activity of complex systems of porcine myometrium in peri-fertilization period has been proposed. The higher order statistic, multivariate cumulants and Joint Skewness Band Selection method, have been applied to study the dependence structure of electromyographic (EMG) signal with an effective EMG feature. Than the model of recognition of multivariate, myoelectricaly changes according to crucial stages for successful fertilization and early pregnancy maintenance has been estimated. We found that considering together time and frequency features of EMG signal was extremely non-Gaussian distributed and the higher order multivariate statistics such as cumulants, have to be used to determine the pattern of myoelectrical activity in reproductive tract. We confirmed the expectance that the probabilistic model changes on a daily base. We demonstrated the changes in proposed model at the crucial time points of in peri-fertilization period. We speculate the activity of the middle of uterine horn and the power (minimum and maximum) and pauses between myoelectrical burst features are essential for the functional role of uterine contractility in peri-fertilization period.

bioinformatics↗