Designing ecologically optimized pneumococcal vaccines using population genomics.
Designing ecologically optimized pneumococcal vaccines using population genomics.
复制标题
DOI:
10.1038/s41564-019-0651-y
复制
发表时间:
2020-03
影响因子:
28.3
通讯作者:
Croucher NJ
中科院分区:
文献类型:
--
作者:
Colijn C;Corander J;Croucher NJ
Streptococcus pneumoniae (the pneumococcus) is a common nasopharyngeal commensal that can cause invasive pneumococcal disease (IPD). Each component of current protein-polysaccharide conjugate vaccines (PCVs) generally induces immunity specific to one of the approximately 100 pneumococcal serotypes, and typically eliminates it from carriage and IPD through herd immunity. Overall carriage rates remain stable owing to replacement by non-PCV serotypes. Consequently, the net change in IPD incidence is determined by the relative invasiveness of the pre- and post-PCV carried pneumococcal populations. Here, we identified PCVs expected to minimise the post-vaccine IPD burden by applying Bayesian optimisation to an ecological model of serotype replacement that integrated epidemiological and genomic data. We compared optimal formulations for reducing infant-only or population-wide IPD, and identified potential benefits to including non-conserved pneumococcal carrier proteins. Vaccines were also devised to minimise IPD resistant to antibiotic treatment, despite the ecological model assuming resistance levels in the carried population would be preserved. We found expanding infant-administered PCV valency is likely to result in diminishing returns, and that complementary pairs of infant- and adult-administered vaccines could be a superior strategy. PCV performance was highly dependent on the circulating pneumococcal population, further highlighting the advantages of a diversity of anti-pneumococcal vaccination strategies.
登录
查看更多内容
影响因子:
5.4
作者:
Croucher NJ;Hanage WP;Harris SR;McGee L;van der Linden M;de Lencastre H;Sá-Leão R;Song JH;Ko KS;Beall B;Klugman KP;Parkhill J;Tomasz A;Kristinsson KG;Bentley SD
通讯作者:
Bentley SD
影响因子:
15.8
作者:
Feikin, Daniel R.;Kagucia, Eunice W.;Moore, Matthew R.
通讯作者:
Moore, Matthew R.
影响因子:
3.3
作者:
Croucher NJ;Chewapreecha C;Hanage WP;Harris SR;McGee L;van der Linden M;Song JH;Ko KS;de Lencastre H;Turner C;Yang F;Sá-Leão R;Beall B;Klugman KP;Parkhill J;Turner P;Bentley SD
通讯作者:
Bentley SD
影响因子:
14.2
作者:
del Amo, E.;Brotons, P.;Munoz-Almagro, C.
通讯作者:
Munoz-Almagro, C.
影响因子:
24.3
作者:
Browall, Sarah;Backhaus, Erik;Henriques-Normark, Birgitta
通讯作者:
Henriques-Normark, Birgitta