Literature DB >> 31598648

Distinguishing Causation From Correlation in the Use of Correlates of Protection to Evaluate and Develop Influenza Vaccines.

Wey Wen Lim1, Nancy H L Leung1, Sheena G Sullivan2,3,4, Eric J Tchetgen Tchetgen5, Benjamin J Cowling1.   

Abstract

There is increasing attention to the need to identify new immune markers for the evaluation of existing and new influenza vaccines. Immune markers that could predict individual protection against infection and disease, commonly called correlates of protection (CoPs), play an important role in vaccine development and licensing. Here, we discuss the epidemiologic considerations when evaluating immune markers as potential CoPs for influenza vaccines and emphasize the distinction between correlation and causation. While an immune marker that correlates well with protection from infection can be used as a predictor of vaccine efficacy, it should be distinguished from an immune marker that plays a mechanistic role in conferring protection against a clinical endpoint-the latter might be a more reliable predictor of vaccine efficacy and a more appropriate target for rational vaccine design. To clearly distinguish mechanistic and nonmechanistic CoPs, we suggest using the term "correlates of protection" for nonmechanistic CoPs, and ''mediators of protection'' for mechanistic CoPs. Furthermore, because the interactions among and relative importance of correlates or mediators of protection can vary according to age or prior vaccine experience, the effect sizes and thresholds for protective effects for CoPs could also vary in different segments of the population.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  biomarkers; causality; immune correlates of protection; immune markers; immune mediators of protection; influenza vaccines; influenza, human; terminology as topic

Mesh:

Substances:

Year:  2020        PMID: 31598648      PMCID: PMC7217279          DOI: 10.1093/aje/kwz227

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  57 in total

1.  Nomenclature for immune correlates of protection after vaccination.

Authors:  Stanley A Plotkin; Peter B Gilbert
Journal:  Clin Infect Dis       Date:  2012-03-20       Impact factor: 9.079

2.  Statistical validation of intermediate endpoints for chronic diseases.

Authors:  L S Freedman; B I Graubard; A Schatzkin
Journal:  Stat Med       Date:  1992-01-30       Impact factor: 2.373

3.  Causal diagrams for epidemiologic research.

Authors:  S Greenland; J Pearl; J M Robins
Journal:  Epidemiology       Date:  1999-01       Impact factor: 4.822

4.  Serum and nasal wash antibodies associated with resistance to experimental challenge with influenza A wild-type virus.

Authors:  M L Clements; R F Betts; E L Tierney; B R Murphy
Journal:  J Clin Microbiol       Date:  1986-07       Impact factor: 5.948

5.  A Universal Influenza Vaccine: The Strategic Plan for the National Institute of Allergy and Infectious Diseases.

Authors:  Emily J Erbelding; Diane J Post; Erik J Stemmy; Paul C Roberts; Alison Deckhut Augustine; Stacy Ferguson; Catharine I Paules; Barney S Graham; Anthony S Fauci
Journal:  J Infect Dis       Date:  2018-07-02       Impact factor: 5.226

Review 6.  Complex immune correlates of protection in HIV-1 vaccine efficacy trials.

Authors:  Georgia D Tomaras; Stanley A Plotkin
Journal:  Immunol Rev       Date:  2017-01       Impact factor: 12.988

7.  Influenza hemagglutination-inhibition antibody titer as a correlate of vaccine-induced protection.

Authors:  Suzanne E Ohmit; Joshua G Petrie; Rachel T Cross; Emileigh Johnson; Arnold S Monto
Journal:  J Infect Dis       Date:  2011-10-12       Impact factor: 5.226

Review 8.  Utilizing population variation, vaccination, and systems biology to study human immunology.

Authors:  John S Tsang
Journal:  Trends Immunol       Date:  2015-07-14       Impact factor: 16.687

9.  Evaluation of Antihemagglutinin and Antineuraminidase Antibodies as Correlates of Protection in an Influenza A/H1N1 Virus Healthy Human Challenge Model.

Authors:  Matthew J Memoli; Pamela A Shaw; Alison Han; Lindsay Czajkowski; Susan Reed; Rani Athota; Tyler Bristol; Sarah Fargis; Kyle Risos; John H Powers; Richard T Davey; Jeffery K Taubenberger
Journal:  mBio       Date:  2016-04-19       Impact factor: 7.867

Review 10.  The Future of Influenza Vaccines: A Historical and Clinical Perspective.

Authors:  Nicole M Bouvier
Journal:  Vaccines (Basel)       Date:  2018-08-30
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