Department of Paediatric Immunology and Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
BMC Infect Dis. 2020 Jun 26;20(1):450. doi: 10.1186/s12879-020-05175-4.
Respiratory syncytial virus (RSV) is a global cause of severe respiratory morbidity and mortality in infants. While preventive and therapeutic interventions are being developed, including antivirals, vaccines and monoclonal antibodies, little is known about the global molecular epidemiology of RSV. INFORM is a prospective, multicenter, global clinical study performed by ReSViNET to investigate the worldwide molecular diversity of RSV isolates collected from children less than 5 years of age.
The INFORM study is performed in 17 countries spanning all inhabited continents and will provide insight into the molecular epidemiology of circulating RSV strains worldwide. Sequencing of > 4000 RSV-positive respiratory samples is planned to detect temporal and geographical molecular patterns on a molecular level over five consecutive years. Additionally, RSV will be cultured from a subset of samples to study the functional implications of specific mutations in the viral genome including viral fitness and susceptibility to different monoclonal antibodies.
The sequencing and functional results will be used to investigate susceptibility and resistance to novel RSV preventive or therapeutic interventions. Finally, a repository of globally collected RSV strains and a database of RSV sequences will be created.
呼吸道合胞病毒(RSV)是导致全球婴幼儿严重呼吸道疾病和死亡的原因。目前正在开发预防和治疗干预措施,包括抗病毒药物、疫苗和单克隆抗体,但对 RSV 的全球分子流行病学知之甚少。INFORM 是 ReSViNET 进行的一项前瞻性、多中心、全球性临床研究,旨在调查来自 5 岁以下儿童的 RSV 分离株的全球分子多样性。
INFORM 研究在 17 个国家进行,涵盖了所有有人居住的大陆,将深入了解全球 RSV 流行株的分子流行病学。计划对 >4000 份 RSV 阳性呼吸道样本进行测序,以在五年内从分子水平上检测到 RSV 流行株的时间和地理分子模式。此外,将从部分样本中培养 RSV,以研究病毒基因组中特定突变的功能意义,包括病毒适应性和对不同单克隆抗体的敏感性。
测序和功能结果将用于研究新型 RSV 预防或治疗干预措施的易感性和耐药性。最后,将建立一个全球收集的 RSV 株库和 RSV 序列数据库。