Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Front Immunol. 2023 Aug 14;14:1171176. doi: 10.3389/fimmu.2023.1171176. eCollection 2023.
Decades of research have probed the molecular and cellular mechanisms that control the immune response to malaria. Yet many studies offer conflicting results on the functional impact of innate immunity for controlling parasite replication early in infection. We conduct a meta-analysis to seek consensus on the effect of innate immunity on parasite replication, examining three different species of rodent malaria parasite. Screening published studies that span four decades of research we collate, curate, and statistically analyze infection dynamics in immune-deficient or -augmented mice to identify and quantify general trends and reveal sources of disagreement among studies. Additionally, we estimate whether host factors or experimental methodology shape the impact of immune perturbations on parasite burden. First, we detected meta-analytic mean effect sizes (absolute Cohen's h) for the difference in parasite burden between treatment and control groups ranging from 0.1475 to 0.2321 across parasite species. This range is considered a small effect size and translates to a modest change in parasitaemia of roughly 7-12% on average at the peak of infection. Second, we reveal that variation across studies using or is best explained by stochasticity (due to small sample sizes) rather than by host factors or experimental design. Third, we find that for the impact of immune perturbation is increased when young or female mice are used and is greatest when effector molecules (as opposed to upstream signalling molecules) are disrupted (up to an 18% difference in peak parasitaemia). Finally, we find little evidence of publication bias suggesting that our results are robust. The small effect sizes we observe, across three parasite species, following experimental perturbations of the innate immune system may be explained by redundancy in a complex biological system or by incomplete (or inappropriate) data reporting for meta-analysis. Alternatively, our findings might indicate a need to re-evaluate the efficiency with which innate immunity controls parasite replication early in infection. Testing these hypotheses is necessary to translate understanding from model systems to human malaria.
几十年来的研究已经探究了控制疟疾免疫反应的分子和细胞机制。然而,许多研究对先天免疫在感染早期控制寄生虫复制的功能影响提供了相互矛盾的结果。我们进行了荟萃分析,以寻求对先天免疫对寄生虫复制影响的共识,研究了三种不同的啮齿动物疟原虫。我们筛选了跨越四十年研究的已发表研究,对免疫缺陷或增强的小鼠的感染动态进行整理、策划和统计分析,以确定和量化一般趋势,并揭示研究之间存在分歧的原因。此外,我们还估计宿主因素或实验方法是否会影响免疫干扰对寄生虫负担的影响。首先,我们检测到治疗组和对照组之间寄生虫负担差异的荟萃分析平均效应大小(绝对 Cohen's h)在寄生虫种类之间的范围从 0.1475 到 0.2321。这个范围被认为是一个小的效应大小,这意味着在感染高峰期,寄生虫血症的平均变化约为 7-12%。其次,我们发现使用或的研究之间的变异最好用随机性(由于样本量小)来解释,而不是用宿主因素或实验设计来解释。第三,我们发现,对于,当使用年轻或雌性小鼠时,免疫干扰的影响会增加,而当破坏效应分子(而不是上游信号分子)时,影响最大(在感染高峰期的寄生虫血症差异高达 18%)。最后,我们发现几乎没有发表偏倚的证据,表明我们的结果是可靠的。我们观察到的小效应大小,跨越三种寄生虫种类,在先天免疫系统的实验干扰后,可能是由于复杂生物系统中的冗余性或元分析中不完整(或不适当)的数据报告所解释。或者,我们的发现可能表明需要重新评估先天免疫在感染早期控制寄生虫复制的效率。为了将模型系统的理解转化为人类疟疾,测试这些假设是必要的。