Fazio Francesco, Costa Antonino, Capparucci Fabiano, Costa Gregorio, Parrino Vincenzo, Arfuso Francesca
Department of Veterinary Sciences, University of Messina, Via Palatucci, 98168 Messina, Italy.
Veterinary Practitioner, 98100 Messina, Italy.
Animals (Basel). 2024 Jan 25;14(3):392. doi: 10.3390/ani14030392.
This study aimed to assess the usefulness of two innovative automated methods (automated blood count counters and flow cytometry) for hematological investigation in Tilapia to make a contribution to the clinical diagnostics of this farmed species. Moreover, serum total proteins and their electrophoretic fractions (prealbumin, albumin, α-, β-, and γ-fraction), as health condition indicators, were assessed. The analysis of serum total proteins and electrophoretic fraction showed a normal and typical electrophoretic pattern of healthy fish (serum total proteins, 3.70 ± 0.62 g/dL; prealbumin, 0.44 ± 0.20 g/dL; albumin, 1.17 ± 0.66 g/dL; α-fraction, 1.49 ± 0.64 g/dL; β-fraction, 0.32 ± 0.16 g/dL; and γ-fraction, 0.29 ± 0.13 g/dL). The relationships between the values of red blood cells (RBCs), white blood cells (WBCs), and thrombocytes (TCs) obtained with the two automated methods were determined using Pearson correlation analysis. The results showed a significant positive correlation between automatic blood cell counting and flow cytometry analysis for RBCs (r = 0.97, < 0.0001) and WBCs (r = 0.91, < 0.0001), whereas no correlation was found for TCs (r = -0.11, = 0.66). The preliminary results gathered in this study seem to highlight the usefulness of the new analytical techniques herein investigated in tilapia, suggesting their application in the hematological investigation of farmed fish species and their usefulness for monitoring the health and well-being of fish reared in aquaculture.
本研究旨在评估两种创新的自动化方法(自动血细胞计数器和流式细胞术)在罗非鱼血液学研究中的实用性,以为这种养殖鱼类的临床诊断做出贡献。此外,还评估了作为健康状况指标的血清总蛋白及其电泳组分(前白蛋白、白蛋白、α-、β-和γ-组分)。血清总蛋白和电泳组分分析显示健康鱼类具有正常且典型的电泳图谱(血清总蛋白,3.70±0.62g/dL;前白蛋白,0.44±0.20g/dL;白蛋白,1.17±0.66g/dL;α-组分,1.49±0.64g/dL;β-组分,0.32±0.16g/dL;γ-组分,0.29±0.13g/dL)。使用Pearson相关性分析确定了通过两种自动化方法获得的红细胞(RBC)、白细胞(WBC)和血小板(TC)值之间的关系。结果显示,自动血细胞计数与流式细胞术分析在RBC(r = 0.97,<0.0001)和WBC(r = 0.91,<0.0001)方面存在显著正相关,而在TC方面未发现相关性(r = -0.11,= 0.66)。本研究收集的初步结果似乎突出了本文所研究的新分析技术在罗非鱼中的实用性,表明它们可应用于养殖鱼类的血液学研究,以及对水产养殖中饲养鱼类的健康和福利监测的有用性。