Viz-Lasheras Sandra, Gómez-Carballa Alberto, Bello Xabier, Rivero-Calle Irene, Dacosta Ana Isabel, Kaforou Myrsini, Habgood-Coote Dominic, Cunnington Aubrey J, Emonts Marieke, Herberg Jethro A, Wright Victoria J, Carrol Enitan D, Paulus Stephane C, Zenz Werner, Kohlfürst Daniela S, Schweintzger Nina, Van der Flier Michiel, de Groot Ronald, Schlapbach Luregn J, Agyeman Philipp, Pollard Andrew J, Fink Colin, Kuijpers Taco T, Anderson Suzanne, Von Both Ulrich, Pokorn Marko, Zavadska Dace, Tsolia María, Moll Henriëtte A, Vermont Clementien, Levin Michael, Martinón-Torres Federico, Salas Antonio
Unidade de Xenética, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, 15782, Calle San Francisco sn, Galicia, Spain.
Genética de Poblaciones en Biomedicina (GenPoB) Research Group, Instituto de Investigación Sanitaria (IDIS), 15706 Hospital Clínico Universitario de Santiago (SERGAS), Galicia, Spain.
Nat Commun. 2025 Jan 15;16(1):673. doi: 10.1038/s41467-025-55932-9.
Mycoplasma pneumoniae causes atypical pneumonia in children and young adults. Its lack of a cell wall makes it resistant to beta-lactams, which are the first-line treatment for typical pneumonia. Current diagnostic tests are time-consuming and have low specificity, leading clinicians to administer empirical antibiotics. Using a LASSO regression simulation approach and blood microarray data from 107 children with pneumonia (including 30 M. pneumoniae) we identify eight different transcriptomic signatures, ranging from 3-10 transcripts, that differentiate mycoplasma pneumonia from other bacterial/viral pneumonias with high accuracy (AUC: 0.84-0.95). Additionally, we demonstrate that existing signatures for broadly distinguishing viral/bacterial infections and viral/bacterial pneumonias are ineffective in distinguishing M. pneumoniae from viral pneumonia. The new signatures are successfully validated in an independent RNAseq cohort of children with pneumonia, demonstrating their robustness. The high sensibility of these signatures presents a valuable opportunity to guide the treatment and management of M. pneumoniae pneumonia patients.
肺炎支原体可导致儿童和年轻人患非典型肺炎。它缺乏细胞壁,因此对β-内酰胺类药物耐药,而β-内酰胺类药物是典型肺炎的一线治疗药物。目前的诊断测试耗时且特异性低,导致临床医生使用经验性抗生素。我们使用套索回归模拟方法和来自107名肺炎儿童(包括30名肺炎支原体感染者)的血液微阵列数据,识别出8种不同的转录组特征,转录本数量从3到10个不等,这些特征能以高精度(曲线下面积:0.84 - 0.95)区分支原体肺炎与其他细菌/病毒性肺炎。此外,我们证明,现有的用于广泛区分病毒/细菌感染及病毒/细菌性肺炎的特征,在区分肺炎支原体与病毒性肺炎方面无效。这些新特征在一个独立的肺炎儿童RNA测序队列中成功得到验证,证明了它们的稳健性。这些特征的高敏感性为指导肺炎支原体肺炎患者的治疗和管理提供了宝贵机会。