Literature DB >> 31575363

Immune stability predicts tuberculosis infection risk in a wild mammal.

Mauricio Seguel1, Brianna R Beechler2, Courtney C Coon3,4, Paul W Snyder1,5, Johannie M Spaan6, Anna E Jolles2,5, Vanessa O Ezenwa1,7.   

Abstract

Immunity is one of the most variable phenotypic traits in animals; however, some individuals may show less fluctuation in immune traits, resulting in stable patterns of immune variation over time. It is currently unknown whether immune variation has consequences for infectious disease risk. In this study, we identified moderately stable immune traits in wild African buffalo and asked whether the stability of these traits affected bovine tuberculosis (TB) infection risk. We found that adaptive immune traits such as the level of interferon-γ (IFN-γ) released after white blood cell stimulation, the number of circulating lymphocytes and the level of antibodies against bovine adenovirus-3 were moderately repeatable (i.e. stable) over time, whereas parameters related to innate immunity either had low repeatability (circulating eosinophil numbers) or were not repeatable (e.g. neutrophil numbers, plasma bacteria killing capacity). Intriguingly, individuals with more repeatable IFN-γ and lymphocyte levels were at a significantly higher risk of acquiring TB infection. In stark contrast, average IFN-γ and lymphocyte levels were poor predictors of TB risk, indicating that immune variability rather than absolute response level better captured variation in disease susceptibility. This work highlights the important and under-appreciated role of immune variability as a predictor of infection risk.

Entities:  

Keywords:  immune stability; infection risk; repeatability; tuberculosis; wildlife

Mesh:

Substances:

Year:  2019        PMID: 31575363      PMCID: PMC6790785          DOI: 10.1098/rspb.2019.1401

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  52 in total

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Review 2.  Stress, immune reactivity and susceptibility to infectious disease.

Authors:  Anna L Marsland; Elizabeth A Bachen; Sheldon Cohen; Bruce Rabin; Stephen B Manuck
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3.  Relevance of bovine tuberculosis research to the understanding of human disease: historical perspectives, approaches, and immunologic mechanisms.

Authors:  W Ray Waters; Mayara F Maggioli; Jodi L McGill; Konstantin P Lyashchenko; Mitchell V Palmer
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4.  Continuous immunotypes describe human immune variation and predict diverse responses.

Authors:  Kevin J Kaczorowski; Karthik Shekhar; Dieudonné Nkulikiyimfura; Cornelia L Dekker; Holden Maecker; Mark M Davis; Arup K Chakraborty; Petter Brodin
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-10       Impact factor: 11.205

5.  Deciphering the genetic architecture of variation in the immune response to Mycobacterium tuberculosis infection.

Authors:  Luis B Barreiro; Ludovic Tailleux; Athma A Pai; Brigitte Gicquel; John C Marioni; Yoav Gilad
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-10       Impact factor: 11.205

6.  Hidden consequences of living in a wormy world: nematode‐induced immune suppression facilitates tuberculosis invasion in African buffalo.

Authors:  Vanessa O Ezenwa; Rampal S Etienne; Gordon Luikart; Albano Beja-Pereira; Anna E Jolles
Journal:  Am Nat       Date:  2010-11       Impact factor: 3.926

7.  Variation in the human immune system is largely driven by non-heritable influences.

Authors:  Petter Brodin; Vladimir Jojic; Tianxiang Gao; Sanchita Bhattacharya; Cesar J Lopez Angel; David Furman; Shai Shen-Orr; Cornelia L Dekker; Gary E Swan; Atul J Butte; Holden T Maecker; Mark M Davis
Journal:  Cell       Date:  2015-01-15       Impact factor: 41.582

Review 8.  Survival analysis and regression models.

Authors:  Brandon George; Samantha Seals; Inmaculada Aban
Journal:  J Nucl Cardiol       Date:  2014-05-09       Impact factor: 5.952

9.  Seasonal redistribution of immune function in a migrant shorebird: annual-cycle effects override adjustments to thermal regime.

Authors:  Deborah M Buehler; Theunis Piersma; Kevin Matson; B Irene Tieleman
Journal:  Am Nat       Date:  2008-12       Impact factor: 3.926

10.  Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

Authors:  John S Tsang; Pamela L Schwartzberg; Yuri Kotliarov; Angelique Biancotto; Zhi Xie; Ronald N Germain; Ena Wang; Matthew J Olnes; Manikandan Narayanan; Hana Golding; Susan Moir; Howard B Dickler; Shira Perl; Foo Cheung
Journal:  Cell       Date:  2014-04-10       Impact factor: 41.582

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  2 in total

1.  Immune stability predicts tuberculosis infection risk in a wild mammal.

Authors:  Mauricio Seguel; Brianna R Beechler; Courtney C Coon; Paul W Snyder; Johannie M Spaan; Anna E Jolles; Vanessa O Ezenwa
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

2.  Functionally distinct T-helper cell phenotypes predict resistance to different types of parasites in a wild mammal.

Authors:  Yolanda Corripio-Miyar; Adam Hayward; Hannah Lemon; Amy R Sweeny; Xavier Bal; Fiona Kenyon; Jill G Pilkington; Josephine M Pemberton; Daniel H Nussey; Tom N McNeilly
Journal:  Sci Rep       Date:  2022-02-24       Impact factor: 4.379

  2 in total

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