Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, 20359 Hamburg, Germany.
Institute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany.
Int J Mol Sci. 2022 Sep 22;23(19):11150. doi: 10.3390/ijms231911150.
Molecular diagnostic approaches are increasingly included in the diagnostic workup and even in the primary diagnosis of malaria in non-endemic settings, where it is difficult to maintain skillful microscopic malaria detection due to the rarity of the disease. Pathogen-specific nucleic acid amplification, however, bears the risk of overlooking other pathogens associated with febrile illness in returnees from the tropics. Here, we assessed the discriminatory potential of metagenomic sequencing for the identification of different species with various parasitemia in EDTA blood of malaria patients. Overall, the proportion of spp.-specific sequence reads in the assessed samples showed a robust positive correlation with parasitemia (Spearman r = 0.7307, = 0.0001) and a robust negative correlation with cycle threshold (Ct) values of genus-specific real-time PCR (Spearman r = -0.8626, ≤ 0.0001). Depending on the applied bioinformatic algorithm, discrimination on species level was successful in 50% (11/22) to 63.6% (14/22) instances. Limiting factors for the discrimination on species level were very low parasitemia, species-depending lacking availability of reliable reference genomes, and mixed infections with high variance of the proportion of the infecting species. In summary, metagenomic sequencing as performed in this study is suitable for the detection of malaria in human blood samples, but the diagnostic detection limit for a reliable discrimination on species level remains higher than for competing diagnostic approaches like microscopy and PCR.
分子诊断方法越来越多地应用于非流行地区疟疾的诊断工作中,甚至在疟疾的初步诊断中,由于疾病的罕见性,很难保持熟练的显微镜疟疾检测。然而,病原体特异性核酸扩增存在忽视与热带地区旅行者发热相关的其他病原体的风险。在这里,我们评估了宏基因组测序在鉴定不同疟原虫种和不同疟原虫血症的 EDTA 血样中的鉴别潜力。总体而言,评估样本中 spp.-特异性序列读数的比例与寄生虫血症呈稳健的正相关(Spearman r = 0.7307, = 0.0001),与属特异性实时 PCR 的循环阈值(Ct)值呈稳健的负相关(Spearman r = -0.8626, ≤ 0.0001)。根据应用的生物信息学算法,在 50%(11/22)到 63.6%(14/22)的情况下可以成功进行物种水平的区分。限制物种水平区分的因素是寄生虫血症极低、依赖于物种的可靠参考基因组缺乏可用性以及感染物种比例变化较大的混合感染。总之,本研究中进行的宏基因组测序适用于人类血液样本中疟疾的检测,但用于可靠区分物种水平的诊断检测限仍然高于竞争诊断方法,如显微镜检查和 PCR。