Cytokine mRNA expression in the bronchoalveolar lavage cells from horses affected by different equine asthma subtypes.

Equine asthma (EA) is a respiratory syndrome associated with the increase of different leukocyte populations in the bronchoalveolar lavage fluid (BALF). Its pathogenetic mechanisms remain unclear. This study aimed to evaluate the associations between the mRNA expression of different cytokines in the BALF, different EA subtypes and lung function. Fifteen horses underwent physical examination, airway endoscopy, BALF cytology and lung function testing (8/15). One horse did not have evidence of EA and was used as healthy reference, while the others were classified as affected by neutrophilic or mixed granulocytic EA. Cells isolated from the residual BALF were used for IL-1ß, IL-2, IFN-γ, IL-4, IL-17A genes expression by quantitative RT-PCR., Cytokine expression was compared between groups, and their correlations with BALF leukocyte and lung function were evaluated. IL-1ß expression was positively correlated with BALF neutrophils count (p=0.038, r=0.56) and with increased expiratory resistance (p=0.047, r=0.76). IFN-γ was correlated with BALF mast cells (p=0.029, r=0.58). IL-4 was higher in horses with mixed granulocytic EA than neutrophilic (p=0.008), positively correlated with BALF mast cells (p=0.028, r=0.59) and inversely with whole-breath (p=0.046, r=-0.76) and expiratory reactance (p=0.003, r=-0.93). Finally, IL-17A was inversely correlated with expiratory reactance (p=0.009, r=-0.92). These results support that multiple immune responses are involved in EA pathogenesis; innate, Th2, and Th17 responses. Innate immunity appeared associated with neutrophilic inflammation, and Th2 response with increased mast cells. The role of Th1 response in EA remains questionable.

Platelet-rich plasma and ovarian quiescence: a bovine in vitro model for regeneration of the ovary.

CONTEXT: Ovarian quiescence can be due to hormonal deficiency usually caused by apoptosis of granulosa cells responsible for oestrogen synthesis. AIM: This study evaluated the regenerative effect of platelet rich plasma (PRP) on bovine in vitro models to understand its effect on granulosa cells. METHODS: Quiescent and healthy ovarian sections were cultured in the presence/absence of PRP for 72h and, at different times (0, 24, 48 and 72h), hematoxylin-eosin and immunohistochemical detection of Ki-67 were performed. Additionally, granulosa cells collected from healthy bovine ovaries were stressed with 100ng/mL of lipopolysaccharide (LPS) in presence/absence of PRP and evaluated at 0, 4, 8 and 24h for apoptosis by acridine orange and propidium iodide staining. Enzyme-linked immunosorbent assay tests were performed to evaluate oestrogen (E2) and anti-Müllerian hormone (AMH) concentrations on cultures of ovarian slices and granulosa cells. KEY RESULTS: In slides of quiescent ovaries treated with PRP, a marked and widespread positivity to Ki-67 was expressed by 40-60% of the follicular wall cells at 48h of culture. Levels of E2 and AMH were significantly higher compared to untreated quiescent samples reaching the levels of healthy control samples. PRP counteracted the LPS effect and apoptosis (at 24h, there were 93.44±3.51% live cells with LPS+PRP compared to 37±1.32% with LPS) and significantly increased concentrations of E2 and AMH. CONCLUSIONS: PRP can stimulate granulosa cell proliferation and counteract inflammatory processes in vitro . IMPLICATIONS: This treatment could improve the reproductive ability of quiescent females.

Amniotic Mesenchymal-Derived Extracellular Vesicles and Their Role in the Prevention of Persistent Post-Breeding Induced Endometritis.

Persistent post-breeding induced endometritis (PPBIE) is considered a major cause of subfertility in mares. It consists of persistent or delayed uterine inflammation in susceptible mares. There are many options for the treatment of PPBIE, but in this study, a novel approach aimed at preventing the onset of PPBIE was investigated. Stallion semen was supplemented with extracellular vesicles derived from amniotic mesenchymal stromal cells (AMSC-EVs) at the time of insemination to prevent or limit the development of PPBIE. Before use in mares, a dose-response curve was produced to evaluate the effect of AMSC-EVs on spermatozoa, and an optimal concentration of 400 × 106 EVs with 10 × 106 spermatozoa/mL was identified. At this concentration, sperm mobility parameters were not negatively affected. Sixteen susceptible mares were enrolled and inseminated with semen (n = 8; control group) or with semen supplemented with EVs (n = 8; EV group). The supplementation of AMSC-EVs to semen resulted in a reduction in polymorphonuclear neutrophil (PMN) infiltration as well as intrauterine fluid accumulation (IUF; p < 0.05). There was a significant reduction in intrauterine cytokine levels (p < 0.05) for TNF-α and IL-6 and an increase in anti-inflammatory IL-10 in mares in the EV group, suggesting successful modulation of the post-insemination inflammatory response. This procedure may be useful for mares susceptible to PPBIE.

Drift compensation on electronic nose data for non-invasive diagnosis of prostate cancer by urine analysis.

Diagnostic protocol for prostate cancer (KP) is affected by poor accuracy and high false-positive rate. The most promising innovative approach is based on urine analysis by electronic noses (ENs), highlighting a specific correlation between urine alteration and KP presence. Although EN could be exploited to develop non-invasive KP diagnostic tools, no study has already introduced EN into clinical practice, most probably because of drift issues that hinder EN scaling up from research objects to large-scale diagnostic devices. This study, proposing an EN for non-invasive KP detection, describes the data processing protocol applied to a urine headspace dataset acquired over 9 months, comprising 81 patients with KP and 41 controls, for compensating the drift. It proved effective in mitigating drift on 1-year-old sensors by restoring accuracy from 55% up to 80%, achieved by new sensors not subjected to drift. The model achieved, on double-blind validation, a balanced accuracy of 76.2% (CI95% 51.9-92.3).