Kelly Matthew S, Surette Michael G, Smieja Marek, Pernica Jeffrey M, Rossi Laura, Luinstra Kathy, Steenhoff Andrew P, Feemster Kristen A, Goldfarb David M, Arscott-Mills Tonya, Boiditswe Sefelani, Rulaganyang Ikanyeng, Muthoga Charles, Gaofiwe Letang, Mazhani Tiny, Rawls John F, Cunningham Coleen K, Shah Samir S, Seed Patrick C
From the *Botswana-UPenn Partnership, Gaborone, Botswana; †Division of Pediatric Infectious Diseases, Duke University Medical Center, Durham, North Carolina; ‡Department of Medicine, McMaster University, §Department of Pathology and Molecular Medicine, McMaster University, ¶St. Joseph's Healthcare, and ‖Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada; **Global Health Center, and ††Division of Pediatric Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; ‡‡Department of Pathology and Laboratory Medicine, BC Children's Hospital, Vancouver, British Columbia, Canada; §§University of Botswana School of Medicine, Gaborone, Botswana; ¶¶Department of Molecular Genetics and Microbiology, Center for the Genomics of Microbial Systems, Duke University Medical Center, Durham, North Carolina; and ‖‖Divisions of Hospital Medicine and Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Pediatr Infect Dis J. 2017 Sep;36(9):e211-e218. doi: 10.1097/INF.0000000000001607.
Nearly half of child pneumonia deaths occur in sub-Saharan Africa. Microbial communities in the nasopharynx are a reservoir for pneumonia pathogens and remain poorly described in African children.
Nasopharyngeal swabs were collected from children with pneumonia (N = 204), children with upper respiratory infection symptoms (N = 55) and healthy children (N = 60) in Botswana between April 2012 and April 2014. We sequenced the V3 region of the bacterial 16S ribosomal RNA gene and used partitioning around medoids to cluster samples into microbiota biotypes. We then used multivariable logistic regression to examine whether microbiota biotypes were associated with pneumonia and upper respiratory infection symptoms.
Mean ages of children with pneumonia, children with upper respiratory infection symptoms and healthy children were 8.2, 11.4 and 8.0 months, respectively. Clustering of nasopharyngeal microbiota identified 5 distinct biotypes: Corynebacterium/Dolosigranulum-dominant (23%), Haemophilus-dominant (11%), Moraxella-dominant (24%), Staphylococcus-dominant (13%) and Streptococcus-dominant (28%). The Haemophilus-dominant [odds ratio (OR): 13.55; 95% confidence interval (CI): 2.10-87.26], the Staphylococcus-dominant (OR: 8.27; 95% CI: 2.13-32.14) and the Streptococcus-dominant (OR: 39.97; 95% CI: 6.63-241.00) biotypes were associated with pneumonia. The Moraxella-dominant (OR: 3.71; 95% CI: 1.09-12.64) and Streptococcus-dominant (OR: 12.26; 95% CI: 1.81-83.06) biotypes were associated with upper respiratory infection symptoms. In children with pneumonia, HIV infection was associated with a lower relative abundance of Dolosigranulum (P = 0.03).
Pneumonia and upper respiratory infection symptoms are associated with distinct nasopharyngeal microbiota biotypes in African children. A lower abundance of the commensal genus Dolosigranulum may contribute to the higher pneumonia risk of HIV-infected children.
近一半的儿童肺炎死亡发生在撒哈拉以南非洲地区。鼻咽部的微生物群落是肺炎病原体的储存库,而在非洲儿童中对其描述仍很少。
2012年4月至2014年4月期间,在博茨瓦纳从肺炎患儿(N = 204)、有上呼吸道感染症状的儿童(N = 55)和健康儿童(N = 60)中采集鼻咽拭子。我们对细菌16S核糖体RNA基因的V3区域进行测序,并使用围绕中心点的划分法将样本聚类为微生物生物型。然后我们使用多变量逻辑回归来检验微生物生物型是否与肺炎和上呼吸道感染症状相关。
肺炎患儿、有上呼吸道感染症状的儿童和健康儿童的平均年龄分别为8.2个月、11.4个月和8.0个月。鼻咽微生物群的聚类确定了5种不同的生物型:棒状杆菌/颗粒链菌属主导型(23%)、嗜血杆菌属主导型(11%)、莫拉克斯氏菌属主导型(24%)、葡萄球菌属主导型(13%)和链球菌属主导型(28%)。嗜血杆菌属主导型[比值比(OR):13.55;95%置信区间(CI):2.10 - 87.26]、葡萄球菌属主导型(OR:8.27;95% CI:2.13 - 32.14)和链球菌属主导型(OR:39.97;95% CI:6.63 - 241.00)生物型与肺炎相关。莫拉克斯氏菌属主导型(OR:3.71;95% CI:1.09 - 12.64)和链球菌属主导型(OR:12.26;95% CI:1.81 - 83.06)生物型与上呼吸道感染症状相关。在肺炎患儿中,HIV感染与颗粒链菌属的相对丰度较低有关(P = 0.03)。
在非洲儿童中,肺炎和上呼吸道感染症状与不同的鼻咽微生物生物型相关。共生菌颗粒链菌属丰度较低可能导致HIV感染儿童肺炎风险较高。