Testing lipid markers as predictors of all-cause morbidity, cardiac disease, and mortality risk in captive western lowland gorillas (Gorilla gorilla gorilla).

Q2 Agricultural and Biological Sciences Primate Biology Pub Date : 2020-12-17 eCollection Date: 2020-01-01 DOI:10.5194/pb-7-41-2020
Ashley N Edes, Janine L Brown, Katie L Edwards
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Abstract

Great apes and humans develop many of the same health conditions, including cardiac disease as a leading cause of death. In humans, lipid markers are strong predictors of morbidity and mortality risk. To determine if they similarly predict risk in gorillas, we measured five serum lipid markers and calculated three lipoprotein ratios from zoo-housed western lowland gorillas (aged 6-52 years, n = 61 , subset with routine immobilizations only: n = 47 ): total cholesterol (TC), triglycerides (TGs), high-density lipoprotein (HDL), low-density lipoprotein (LDL), apolipoprotein A1 (apoA1), TC / HDL , LDL / HDL , and TG / HDL . We examined each in relation to age and sex, then analyzed whether they predicted all-cause morbidity, cardiac disease, and mortality using generalized linear models (GLMs). Older age was significantly associated with higher TG, TC / HDL , LDL / HDL , and TG / HDL , and lower HDL and apoA1. With all ages combined, compared to females, males had significantly lower TG, TC / HDL , LDL / HDL , and TG / HDL , and higher HDL. Using GLMs, age, sex, and lower LDL / HDL were significant predictors of all-cause morbidity; this is consistent with research demonstrating lower LDL in humans with arthritis, which was the second most prevalent condition in this sample. In contrast to humans, lipid markers were not better predictors of cardiac disease and mortality risk in gorillas, with cardiac disease best predicted by age and sex alone, and mortality risk only by age. Similar results were observed when multimodel inference was used as an alternative analysis strategy, suggesting it can be used in place of or in addition to traditional methods for predicting risk.

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测试作为圈养西部低地大猩猩(大猩猩)全因发病率、心脏病和死亡风险预测指标的血脂指标。
类人猿与人类有着许多相同的健康状况,其中心脏病是导致死亡的主要原因。在人类中,血脂指标是预测发病率和死亡风险的有力指标。为了确定这些指标是否同样能预测大猩猩的风险,我们测量了动物园饲养的西部低地大猩猩(年龄在 6-52 岁之间,n = 61,仅有常规固定的子集:n = 47):总胆固醇(TC)、甘油三酯(TGs)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)、载脂蛋白 A1(apoA1)、TC / HDL、LDL / HDL 和 TG / HDL。我们研究了每种脂蛋白与年龄和性别的关系,然后使用广义线性模型 (GLM) 分析了它们是否能预测全因发病率、心脏病和死亡率。年龄越大,总胆固醇、总热量/高密度脂蛋白、低密度脂蛋白/高密度脂蛋白和总胆固醇/高密度脂蛋白越高,而高密度脂蛋白和载脂蛋白A1越低。在所有年龄段中,与女性相比,男性的总胆固醇、总热量/高密度脂蛋白、低密度脂蛋白/高密度脂蛋白和总胆固醇/高密度脂蛋白明显较低,而高密度脂蛋白较高。在使用 GLMs 时,年龄、性别和较低的低密度脂蛋白/高密度脂蛋白是全因发病率的重要预测因素;这与患有关节炎的人体内较低的低密度脂蛋白的研究结果一致,而关节炎是该样本中发病率第二高的疾病。与人类不同的是,血脂指标并不能更好地预测大猩猩的心脏病和死亡风险,只有年龄和性别才能更好地预测心脏病,而年龄只能预测死亡风险。当使用多模型推断作为替代分析策略时,也观察到了类似的结果,这表明多模型推断可以替代传统的风险预测方法或作为传统方法的补充。
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来源期刊
Primate Biology
Primate Biology Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
1.90
自引率
0.00%
发文量
8
审稿时长
13 weeks
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