Nabi Ghulam, Robeck Todd R, Hao Yujiang, Wang Ding
Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
University of Chinese Academy of Sciences, Beijing, China.
Front Physiol. 2019 Jul 11;10:792. doi: 10.3389/fphys.2019.00792. eCollection 2019.
In this study, references intervals for 49 clinicopathological parameters were established for the critically endangered Yangtze finless porpoise (YFP) (). Both from the wild (Poyang Lake) and seminatural (Tian-E-Zhou Oxbow) populations, individual blood samples from 188 animals were collected from 2009 to 2017 and from 2002 to 2015, respectively. For reference interval determination, we used a non-parametric bootstrap-based procedure to determine the 95th percentiles and the associated 90% confidence interval for each analyte. Our results indicated a need to partition the analyte concentrations by sex, age group, or pregnancy; however, we did not find a need to partition results by location. We then used a linear mixed model to determine if evidence existed for mean differences between location with sex and season as covariates and age group as the clustered random variable on mean hematological parameters in the YFP. We found that 88% of the analytes were significantly different between locations. Within the covariates, sex and season showed 31 and 69% significant difference in mean distributions, respectively. Additionally, age group provided a significant source of variation in 25% of the analytes. In summary, our finding suggests that analytes should be grouped according to sex, age, and reproductive status (non-pregnant and non-lactating, pregnant and lactating). Furthermore, we have provided the first set of reference intervals for 49 clinicopathological parameters that could provide guidelines for the initial evaluation of individuals during health assessments.
在本研究中,为极度濒危的长江江豚(YFP)建立了49个临床病理参数的参考区间。分别从野生(鄱阳湖)和半自然(天鹅洲故道)种群中,于2009年至2017年和2002年至2015年采集了188只动物的个体血液样本。为确定参考区间,我们使用基于非参数自助法的程序来确定每种分析物的第95百分位数及相关的90%置信区间。我们的结果表明需要按性别、年龄组或妊娠情况对分析物浓度进行划分;然而,我们发现无需按地点划分结果。然后,我们使用线性混合模型来确定在以性别和季节作为协变量、年龄组作为聚类随机变量的情况下,长江江豚平均血液学参数在不同地点之间是否存在均值差异的证据。我们发现88%的分析物在不同地点之间存在显著差异。在协变量中,性别和季节在均值分布上分别显示出31%和69%的显著差异。此外,年龄组在25%的分析物中提供了显著的变异来源。总之,我们的研究结果表明,分析物应根据性别、年龄和生殖状态(非妊娠和非哺乳、妊娠和哺乳)进行分组。此外,我们提供了第一组49个临床病理参数的参考区间,可为健康评估期间个体的初步评估提供指导。