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Reply to Kloepfer and Gern: Independent studies suggest an arms race between influenza and rhinovirus: What next?
Thursday, 2020/04/02 | 05:50:44

S. Nickbakhsh, C. Mair,  L. Matthews,  R. Reeve, P. C. D. Johnson, F. Thorburn, B. von Wissmann, J. McMenamin, R. N. Gunson, and P. R. Murcia

PNAS March 31, 2020 117 (13) 6988-6989

 

It was very interesting to learn about Kloepfer et al.’s study investigating the link between asthma and influenza A H1N1 infection incidence and severity (1). Their finding that influenza A virus (IAV) infections reduced the subsequent risk of infection with human rhinoviruses (HRVs) was contrary to theories at the time of a reverse directionality (23). However, as Kloepfer and Gern (4) state in their Letter, it is certainly consistent with our recent large-scale study on respiratory virus–virus interactions (5). Our study primarily aimed to provide statistical evidence for interactions between 11 groups of influenza and noninfluenza viruses using a bespoke statistical methodology for investigation of time series correlation at the population scale (6). Uniquely, we were able to concurrently evaluate inferences at the individual host scale, made possible by the simultaneous testing of patients for multiple respiratory viruses.

 

However, as Kloepfer and Gern (4) highlight, an important limitation of our study is that routine diagnostic data reflect a single snapshot of an individual’s infection. Our host-scale analysis, quantifying relative risks of virus codetections in the presence/absence of other viruses, provided strong support for a negative association between IAV and HRV (odds ratio = 0.27, 95% CI = 0.14 to 0.51, P < 0.001). However, the sequential timing of infection events, and therefore the directionality of effect, could not be directly determined from our data.

 

The prospective longitudinal study employed by Kloepfer et al. (1), on the other hand, although based on a comparatively small study of children sampled over a short 2-mo period, does provide suitable data to infer directionality. Their study supports a unidirectional relationship, as we had hypothesized based on epidemiological reasoning. We examined this hypothesis in mathematical simulations and found that interference with IAV could cause a measurable decline in HRV incidence in winter, as we observed empirically (5).

 

Moving forward, several important knowledge gaps remain surrounding mechanisms and generality of IAV–HRV interaction. First, is the form of interaction (negative), magnitude, and directionality of effect consistent across H1N1 and H3N2 influenza subtypes and HRV species and serotypes? Second, is the nature of virus–virus interactions altered by comorbidities such as asthma, chronic obstructive pulmonary disease, or other immune disorders? Last, how localized or spatially widespread is the existence and the nature of IAV–HRV interaction? Ultimately, a collaborative effort spanning multiple scientific disciplines is needed to establish the cellular-level mechanism(s) of interference, the impact on the within-host dynamics of infection, and the evolutionary drivers underpinning this battle for coexistence in the human respiratory tract.

 

See https://www.pnas.org/content/117/13/6988

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