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Enregistrement W3087289905 · doi:10.1002/eji.202048665

White matter lesions in multiple sclerosis are enriched for CD20 <sup>dim</sup> CD8 <sup>+</sup> tissue‐resident memory T cells

2020· letter· en· W3087289905 sur OpenAlexaff
Cheng‐Chih Hsiao, Nina L. Fransen, Aletta M.R. van den Bosch, Kim Brandwijk, Inge Huitinga, Jörg Hamann, Joost Smolders

Notice bibliographique

RevueEuropean Journal of Immunology · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueMultiple Sclerosis Research Studies
Établissements canadiensInstitute of Infection and Immunity
Organismes subventionnairesDeutsche Forschungsgemeinschaft
Mots-clésMultiple sclerosisBiologyGranzyme BCD20Cytotoxic T cellCD8White matterMolecular biologyPathologyImmunologyAntigenGeneticsMedicineIn vitro

Résumé

récupéré en direct d'OpenAlex

Brain CD8+CD69+ tissue-resident memory T (TRM) cells comprise a CD20dim subset, which is proportionally larger in CD103-negative TRM cells. In multiple sclerosis (MS) lesions, CD20dim TRM-cell proportions are increased. CD20-expression is associated with higher levels of CXCR6, Ki-67, and granzyme B, supporting CD20dim TRM cells as a relevant subset in MS. The cluster of differentiation (CD)20 antigen is most well known as a component of the B-cell receptor complex [1]. As such, it is since decades used to identify B lymphocytes with flow cytometry and immunohistochemistry. In relapsing–remitting and progressive multiple sclerosis (MS), B-cell depleting anti-CD20 immunoglobulin (Ig)G1 antibodies are efficacious in suppressing inflammatory disease activity and delaying disability progression [2]. A 1993 study identified in healthy controls a circulating subpopulation of T lymphocytes with intermediate expression of CD20 [3]. Increased frequencies of these circulating CD20dim T cells were noted in MS, and these cells were also depleted by anti-CD20 IgG1 antibodies [4]. Notably, a recent study by Von Essen et al. reported that an enrichment of CD20dim T cells in the cerebrospinal fluid (CSF) of MS patients positively correlates with disease severity, implying that CD20-expressing T cells may also exist in the human brain [5]. Our group recently revealed the human brain to be populated by small numbers of perivascular predominantly CD8+ tissue-resident memory T (TRM) cells [6, 7]. In brain donors with advanced MS, we observed recruitment of CD8+ TRM cells from the perivascular space into MS lesions [8]. We now investigated whether rapid postmortem autopsy-acquired viable brain CD8+ TRM cells in control and MS donors constitutively express intermediate levels of CD20. First, we stained with immunohistochemistry tissue sections of human MS white matter lesions for T and B cells (Fig. 1A). As described by us and others previously, these lymphocytes were mostly found in the perivascular space [7]. We encountered CD20bright CD3− B cells, CD20dim CD3+ T cells, and CD20- CD3+ T cells in the perivascular space, surrounding an active white matter lesion. Our findings are in line with former reports of CD20+ CD4+ and CD8+ T cells in MS white matter lesions [9], and support the presence of CD20dim T cell in the brain. We earlier identified the normal postmortem human brain to be populated by predominantly CD8+ TRM cells [6, 7]. To analyze CD20 expression by these cells, we isolated and analyzed viable CD8+ T cells from postmortem human brain white matter and stained them for the TRM-cell markers CD69, CD103, CD49a, PD1, CD44, and CXCR6 (Fig. 1B, donor and sample information in Supporting Information Table S1). For comparison, CD8+ T cells from peripheral blood were analyzed. In the circulation, we encountered a small proportion of CD8+ T cells with intermediate CD20 expression, in accordance with earlier studies (Fig. 1B) [4, 5]. Contrastingly, brain CD8+CD69+ TRM cells showed a higher proportion of CD20dim cells. Of note, CD20 expression was higher in the CD103− when compared to the CD103+ CD8+CD69+ TRM-cell fraction (Fig. 1C). To exclude the possibility of B- and T-cell duplicates as substrate for the CD20 expression by T cells, despite singlet gating, we performed imaging flow cytometry and confirmed the presence of both CD20dim and CD20− brain CD8+CD69+ TRM cells (Supporting Information Fig. S1 and Fig. 1D). Lastly, since autofluorescence and multiple fluorochromes imply technical challenges, we confirmed with quantitative reverse transcription-polymerase chain reaction (RT-PCR) that brain CD8+ TRM cells express mRNA encoding CD20 (MS4A1) and not CD19 (Fig. 1E). We conclude that brain CD8+ TRM cells constitutively contain a CD20dim subpopulation corroborating the recent report of von Essen et al., showing an enrichment of CD20dim CD4+ and CD8+ T cells in the CSF compared to peripheral blood [5]. We recently showed postmortem MS white matter lesions to be enriched for CD8+ TRM cells [8]. To analyze a possible association of brain CD20dim CD8+ TRM cells with MS lesions, we stained control white matter and MS white matter lesions for CD3 and CD20 (Fig. 2A). An increased proportion of T cells displayed a CD20dim phenotype in MS lesions (Fig. 2B), coinciding with an increased T-cell number (Fig. 2C). In addition, we compared with flow cytometry CD20expression between CD8+ T cells isolated from control white matter, MS normal-appearing white matter (NAWM), and MS active lesions. All tissue blocks with lesions contained either active or mixed active/inactive lesions, as determined with human leukocyte antigen (HLA)-DR and myelin proteolipid protein immunohistochemistry (Fig. 2D). Both in the CD103− and CD103+ fractions of CD8+CD69+ TRM cells, an increased proportion of CD20dim T cells was observed in MS lesions when compared to control white matter (Fig. 2E). Notably, the higher proportions of CD20dim T cells observed with flow cytometry may reflect a higher sensitivity for this weakly expressed antigen when compared to immunohistochemistry. These findings confirm the association of brain CD20dim CD8+ TRM cells with active lesions in MS. Lastly, to explore a possible functional relevance of CD20 expression, we compared with flow cytometry expression of markers of tissue homing (CXCR6), activation (Ki-67), and cytotoxic potential (granzyme B and GPR56) between CD20− and CD20dim brain CD8+ TRM cells. Distribution patterns were overlapping between cells isolated from control white matter, MS NAWM, and MS lesions (Fig. 2F). Expression levels of CXCR6, Ki-67, and granzyme B were higher on CD20dim when compared to CD20− CD8+ TRM cells regardless of CD103 expression (all p = 0.021 to p < 0.001). This notion is in line with earlier studies, attributing to CD20dim T cells a higher expression of chemokine receptors and a higher cytotoxic potential [5]. We here demonstrate the presence of CD20dim CD8+ TRM cells among the physiological T-cell residents in the perivascular space and show the association of these cells with active MS lesions. The enrichment of CD20dim T cells in the circulation and CSF of people with MS suggests that this is a trait of T cells with a greater propensity to migrate into the perivascular space and into MS lesions. These data draw attention to CD20dim T-cell depletion as potential mechanism underlying the efficacy of anti-CD20 therapies. This research is funded by MS Research (MS 14-888), the Vriendenloterij, the German Research Foundation (FOR 2149), and the National MS Fonds (OZ2018-003). CCH, NFL, AMRB, KIMB, IH, and JH declare to have no commercial or financial conflict of interest. JS received consultancy and/or lecture fee from Biogen, Merck, Novartis, and Sanofi-Genzyme. The peer review history for this article is available at https://publons.com/publon/10.1002/eji.202048665. The data that support the findings of this study are available from the corresponding author upon reasonable request. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,398
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0010,006
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,073
Tête enseignante GPT0,277
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations39
Publié2020
Routes d'admission1
Résumé présentoui

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