Literature DB >> 25196940

The rise and fall of MAIT cells with age.

L J Walker1, H Tharmalingam, P Klenerman.   

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Year:  2014        PMID: 25196940      PMCID: PMC4282343          DOI: 10.1111/sji.12237

Source DB:  PubMed          Journal:  Scand J Immunol        ISSN: 0300-9475            Impact factor:   3.487


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To the Editor We read with interest the article by Novak et al. recently published in the Scandinavian Journal of Immunology and write in support of their data. The authors describe the profound changes with age of peripheral circulating mucosal associated invariant T (MAIT) cells in a cohort of patients whose samples were obtained post-clinical analysis 1. We conducted a similar study of a cohort of 160 patients aged <1–90 years (mean 41 years) a number of years ago of patients attending the John Radcliffe Hospital in Oxford, UK where we performed whole blood antibody staining of samples post-clinical analysis. Unlike Novak et al., we did not know the patient background and were unable to exclude patients with infective or inflammatory conditions, however, similarities between the data sets and also this recently published paper 2 are striking. Novak et al. describe the MAIT cell population as CD3+CD161++Vα7.2+ cells; however, the naïve CD3+CD161++ population in cord blood has polyclonal T cell receptor usage and mature Vα7.2+ and Vα7.2- CD161++ T cell subsets share the same distinctive phenotype and function of the MAIT population 3,4. Our study was conducted before wider availability of the Vα7.2 antibody and describes the CD3+CD161++CD8α+ population that includes both Vα7.2+ and Vα7.2- cells, representing about 90% of the MAIT cell population, with the remainder predominantly double negative CD4-CD8- cells (DN) 3. We found a significant positive correlation between peripheral blood CD3+CD161++CD8α+ cell frequency and age up 30 years (r = 0.4651, P < 0.0001) and subsequently a significant negative correlation between MAIT cell frequency and age in those patients ≥30 years (r = −0.5171, P < 0.0001) (Fig.1A).
Figure 1

Variation with age of peripheral CD3+CD161++CD8α+ T cells. (A) Correlation between age and the size of the CD3+CD161++CD8α+β+ subset as a proportion of CD3+CD8α+β+ T cells in patients < or ≥30 years old. (<30 years r = 0.4651, P < 0.0001; ≥30 years r = −0.5171, P < 0.0001 Spearman's rank). (B) Correlation between age (years) and the size of the CD3+CD161++CD8α+β- subset as a proportion of CD3+CD161++CD8α+ T cells < or ≥30 years old (<30 years r = 0.5358 P < 0.0001; ≥30 years r = −0.5878 P < 0.0001 Spearman's rank). (C) Relationship between CD161++CD8α+β+ and CD161++CD8α+β- subsets as a proportion of CD3+ cells (r2 = 0.1151, P<0.0001 Linear regression).

Variation with age of peripheral CD3+CD161++CD8α+ T cells. (A) Correlation between age and the size of the CD3+CD161++CD8α+β+ subset as a proportion of CD3+CD8α+β+ T cells in patients < or ≥30 years old. (<30 years r = 0.4651, P < 0.0001; ≥30 years r = −0.5171, P < 0.0001 Spearman's rank). (B) Correlation between age (years) and the size of the CD3+CD161++CD8α+β- subset as a proportion of CD3+CD161++CD8α+ T cells < or ≥30 years old (<30 years r = 0.5358 P < 0.0001; ≥30 years r = −0.5878 P < 0.0001 Spearman's rank). (C) Relationship between CD161++CD8α+β+ and CD161++CD8α+β- subsets as a proportion of CD3+ cells (r2 = 0.1151, P<0.0001 Linear regression). CD8 can be expressed as both a CD8αβ heterodimer or a CD8αα homodimer and the CD3+CD161++CD8α+/MAIT population further subdivides into CD8α+β -/low (CD8αβ and CD8αα expressing) and CD8α+β- (CD8αα single positive) subsets 3,5,6. On further analysis, here, we describe the CD161++CD8α+CD8β- subset to vary in a similar pattern with age to the overall CD3+CD161++CD8α+ subset (<30 years r = 0.45358 P < 0.0001; ≥ 30 years r = −0.5878 P < 0.0001) (Fig.1B) and a significant positive correlation between the size of the CD161++CD8α+β+ and the CD161++CD8α+β- as a proportion of CD3+ cells (Fig.1C). Novak et al. describe a fall in CD8α+ MAIT cells and increase in proportion of DN MAITs with increasing age. Our own previously published data would indicate CD161++CD8αα MAIT cells to be derived from CD161++CD8αβ cells; however, the origin of the DN subset is not known 3. Our data would indicate that the proportion of CD161++CD8αα subset remains in a steady state as a proportion of CD161++CD8α+ MAIT population overall, regardless of possible progression to DN status. Our data strongly support the conclusions of the authors that further work involving MAIT cells should ensure careful age and sex-matched controls are used to allow for appropriate interpretation of data suggesting changes in MAIT cell frequency within particular disease states; uncontrolled studies of MAIT cells require cautious interpretation. Yours Sincerely Dr Lucy Walker Dr Hannah Tharmalingham Professor Paul Klenerman
  6 in total

1.  The decrease in number and change in phenotype of mucosal-associated invariant T cells in the elderly and differences in men and women of reproductive age.

Authors:  J Novak; J Dobrovolny; L Novakova; T Kozak
Journal:  Scand J Immunol       Date:  2014-10       Impact factor: 3.487

2.  Circulating mucosal-associated invariant T cell levels and their cytokine levels in healthy adults.

Authors:  O-Jin Lee; Young-Nan Cho; Seung-Jung Kee; Moon-Ju Kim; Hye-Mi Jin; Sung-Ji Lee; Ki-Jeong Park; Tae-Jong Kim; Shin-Seok Lee; Yong-Soo Kwon; Nacksung Kim; Myung-Geun Shin; Jong-Hee Shin; Soon-Pal Suh; Dong-Wook Ryang; Yong-Wook Park
Journal:  Exp Gerontol       Date:  2013-11-20       Impact factor: 4.032

3.  Human MAIT and CD8αα cells develop from a pool of type-17 precommitted CD8+ T cells.

Authors:  Lucy J Walker; Yu-Hoi Kang; Matthew O Smith; Hannah Tharmalingham; Narayan Ramamurthy; Vicki M Fleming; Natasha Sahgal; Alistair Leslie; Ye Oo; Alessandra Geremia; Thomas J Scriba; Willem A Hanekom; Georg M Lauer; Olivier Lantz; David H Adams; Fiona Powrie; Eleanor Barnes; Paul Klenerman
Journal:  Blood       Date:  2011-11-15       Impact factor: 22.113

4.  CD161++ CD8+ T cells, including the MAIT cell subset, are specifically activated by IL-12+IL-18 in a TCR-independent manner.

Authors:  James E Ussher; Matthew Bilton; Emma Attwod; Jonathan Shadwell; Rachel Richardson; Catherine de Lara; Elisabeth Mettke; Ayako Kurioka; Ted H Hansen; Paul Klenerman; Christian B Willberg
Journal:  Eur J Immunol       Date:  2013-10-01       Impact factor: 5.532

5.  CD8αα Expression Marks Terminally Differentiated Human CD8+ T Cells Expanded in Chronic Viral Infection.

Authors:  L J Walker; E Marrinan; M Muenchhoff; J Ferguson; H Kloverpris; H Cheroutre; E Barnes; P Goulder; Paul Klenerman
Journal:  Front Immunol       Date:  2013-08-06       Impact factor: 7.561

6.  Antigen-loaded MR1 tetramers define T cell receptor heterogeneity in mucosal-associated invariant T cells.

Authors:  Rangsima Reantragoon; Alexandra J Corbett; Isaac G Sakala; Nicholas A Gherardin; John B Furness; Zhenjun Chen; Sidonia B G Eckle; Adam P Uldrich; Richard W Birkinshaw; Onisha Patel; Lyudmila Kostenko; Bronwyn Meehan; Katherine Kedzierska; Ligong Liu; David P Fairlie; Ted H Hansen; Dale I Godfrey; Jamie Rossjohn; James McCluskey; Lars Kjer-Nielsen
Journal:  J Exp Med       Date:  2013-10-07       Impact factor: 14.307

  6 in total
  21 in total

1.  Absence of mucosal-associated invariant T cells in a person with a homozygous point mutation in MR1.

Authors:  Lauren J Howson; Wael Awad; Anouk von Borstel; Hui Jing Lim; Hamish E G McWilliam; Maria L Sandoval-Romero; Shamik Majumdar; Abdul Rezzak Hamzeh; Thomas D Andrews; David H McDermott; Philip M Murphy; Jérôme Le Nours; Jeffrey Y W Mak; Ligong Liu; David P Fairlie; James McCluskey; Jose A Villadangos; Matthew C Cook; Stephen J Turner; Martin S Davey; Samar Ojaimi; Jamie Rossjohn
Journal:  Sci Immunol       Date:  2020-07-24

Review 2.  MAIT cells and their implication in human oral diseases.

Authors:  Qin Jiang; Fang Wang; Jing-Ya Yang; Gang Zhou
Journal:  Inflamm Res       Date:  2022-07-04       Impact factor: 6.986

3.  Recovery of mucosal-associated invariant T cells after myeloablative chemotherapy and autologous peripheral blood stem cell transplantation.

Authors:  Jan Novak; Jan Dobrovolny; Jitka Brozova; Lucie Novakova; Tomas Kozak
Journal:  Clin Exp Med       Date:  2015-09-26       Impact factor: 3.984

4.  Inflammaging phenotype in rhesus macaques is associated with a decline in epithelial barrier-protective functions and increased pro-inflammatory function in CD161-expressing cells.

Authors:  Edith M Walker; Nadia Slisarenko; Giovanni L Gerrets; Patricia J Kissinger; Elizabeth S Didier; Marcelo J Kuroda; Ronald S Veazey; S Michal Jazwinski; Namita Rout
Journal:  Geroscience       Date:  2019-11-11       Impact factor: 7.713

Review 5.  Mucosal-associated invariant T cells and disease.

Authors:  Amine Toubal; Isabelle Nel; Sophie Lotersztajn; Agnès Lehuen
Journal:  Nat Rev Immunol       Date:  2019-10       Impact factor: 53.106

Review 6.  MR1-Restricted Mucosal-Associated Invariant T Cells and Their Activation during Infectious Diseases.

Authors:  Lauren J Howson; Mariolina Salio; Vincenzo Cerundolo
Journal:  Front Immunol       Date:  2015-06-16       Impact factor: 7.561

7.  Enumeration, functional responses and cytotoxic capacity of MAIT cells in newly diagnosed and relapsed multiple myeloma.

Authors:  Nicholas A Gherardin; Liyen Loh; Lorenztino Admojo; Alexander J Davenport; Kelden Richardson; Amy Rogers; Phillip K Darcy; Misty R Jenkins; H Miles Prince; Simon J Harrison; Hang Quach; David P Fairlie; Katherine Kedzierska; James McCluskey; Adam P Uldrich; Paul J Neeson; David S Ritchie; Dale I Godfrey
Journal:  Sci Rep       Date:  2018-03-07       Impact factor: 4.379

Review 8.  Insights Into the Effects of Mucosal Epithelial and Innate Immune Dysfunction in Older People on Host Interactions With Streptococcus pneumoniae.

Authors:  Caroline M Weight; Simon P Jochems; Hugh Adler; Daniela M Ferreira; Jeremy S Brown; Robert S Heyderman
Journal:  Front Cell Infect Microbiol       Date:  2021-05-25       Impact factor: 5.293

9.  In vitro Interleukin-7 treatment partially rescues MAIT cell dysfunction caused by SARS-CoV-2 infection.

Authors:  Satanay Hubrack; Maryam Ali Al-Nesf; Nourhen Agrebi; Christophe Raynaud; Mohammed Abu Khattab; Merlin Thomas; Tayseer Ibrahim; Salma Taha; Said Dermime; Maysaloun Merhi; Michal Kulinski; Martin Steinhoff; Patrick Tang; Bernice Lo
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

10.  Shared and Distinct Phenotypes and Functions of Human CD161++ Vα7.2+ T Cell Subsets.

Authors:  Ayako Kurioka; Aminu S Jahun; Rachel F Hannaway; Lucy J Walker; Joannah R Fergusson; Eva Sverremark-Ekström; Alexandra J Corbett; James E Ussher; Christian B Willberg; Paul Klenerman
Journal:  Front Immunol       Date:  2017-08-30       Impact factor: 7.561

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