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Enregistrement W2922521872 · doi:10.1182/blood-2018-99-116069

PD-1/PD-L Pathway Potentially Involved in ITP Immunopathogenesis

2018· article· en· W2922521872 sur OpenAlexaff
Mu Nie, Qi Feng, Yu Hou, Miao Xu, Jun Peng, Ming Hou, Yan Shi

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésImmunologyMedicinePlateletMonoclonal antibodyImmune systemAntibodyCD28Immune toleranceT cell

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Immune thrombocytopenia (ITP) is an autoimmune disease in which autoreactive T and B cells are activated by platelet autoantigens resulting in immune-mediated platelet destruction and/or suppression of platelet production. The binding of programmed death 1 (PD-1) to its ligands PD-L1 and PD-L2 on antigen-presenting cells turns off autoreactive T cells and induces peripheral tolerance. Aberrant PD-1/PD-L signalling could result in a breakdown of peripheral tolerance and lead to autoimmune diseases. Methods Thirty-four patients with primary active ITP who were diagnosed and/or followed up and 26 healthy controls were enrolled in this study. Platelet counts in all ITP patients were less than 30×109 /L at sampling. They had not been treated with any immunosuppressive agents for at least one week prior to sampling for this study. To determine the role of the PD-1/PD-L signalling pathway in ITP, we detected PD-1 expression on T cells and PD-L expression on dendritic cells (DCs) in both ITP patients with active disease and healthy controls by flow cytometry. To investigate the effects of PD-L1-Fc fusion protein (PD-L1-Fc) on T cells, PBMCs from ITP patients and healthy controls with autologous platelets were cultured with soluble anti-CD3 monoclonal antibody (mAb) and anti-CD28 mAb in the presence (PD-L1-Fc+ group) or absence (PD-L1-Fc- group) of the PD-L1-Fc (0.5 μg/mL) at 37 ˚C with 5% CO2 for 4 days. The cells were harvested and stained for flow cytometry to detect the apoptosis, activation and proliferation of T cells. IL-2 and IFN-γ levels in the co-culture supernatant were assayed by ELISA. Results Enhanced PD-1 expression on T cells and decreased PD-L1 expression on mDCs in ITP patients We found that PD-1 mean fluorescence intensities (MFIs) increased in CD4+ cells (P < 0.01) and in CD8+ cells (P < 0.01) from ITP patients compared with those from healthy controls. However, PD-L1 expression on monocyte-derived DCs was lower in patients with active ITP than in healthy controls (P < 0.01, Figure 1). PD-L1-Fc promoted T cell apoptosis Annexin V-FITC and propidium iodide (PI) were used to detect T cell apoptosis. The percentage of apoptotic cells and dead cells were analysed to determine T cell apoptosis levels. In ITP patients, the percentage of apoptotic cells and dead cells were higher in PD-L1-Fc+ group than in the PD-L1-Fc- group (P < 0.01 for both CD4+ and CD8+ T cells). However, we found no significant difference in apoptosis between PD-L1-Fc- and PD-L1-Fc+ groups in healthy controls (Figure 2). PD-L1-Fc inhibited T cell activation and proliferation CD25 MFIs were analysed to determine the activation level of cocultured T lymphocytes. Compared with healthy controls, CD25 expression on CD4+ and CD8+ T cells was significantly increased in ITP patients (P < 0.05 for both CD4+ and CD8+ T cells). These results suggest that ITP patients had more activated CD4+ and CD8+ T cells than in healthy controls. PD-L1-Fc significantly inhibited T cell activation in ITP patients (P < 0.01, n=34) but not in healthy controls (P = 0.0834 in CD4+ T cells, P = 0.6834 in CD8+ T cells, n=26, Figure 3). To analyse proliferation, the frequency of divided cells was calculated according to the loss of CFSE fluorescence intensity. PD-L1-Fc inhibited proliferation of T cells from ITP patients (P < 0.01 in both CD4+ T and CD8+ T cells, n=34, Figure 4). We found no significant difference in proliferation in T cells from healthy controls (CD4+ T cells P = 0.9758, CD8+ T cells P = 0.5658, n=26). PD-L1-Fc inhibited IL-2 and IFN-γ production IL-2 secretion was higher in ITP than in healthy controls in the absence of PD-L1-Fc (P = 0.0308, Figure 5). PD-L1-Fc significantly inhibited IL-2 and IFN-γ production in ITP patients. IL-2 and IFN-γ levels were lower in the PD-L1-Fc+ group than in the PD-L1-Fc- group in ITP (P < 0.01 for both IL-2 and IFN-γ, n=34). However, we did not detect a significant difference in secretion of IL-2 (P = 0.2016, n=26) or IFN-γ (P = 0.2989, n=26) in healthy controls. Conclusions In summary, our study suggests that the aberrant PD-1/PD-L negative costimulatory pathway may play a role in ITP. Enhancing PD-1/PD-L signalling might be a promising therapeutic approach for ITP by promoting T cell apoptosis, inhibiting T cell activation and proliferation, and reducing secretion of inflammatory factors. Disclosures No relevant conflicts of interest to declare.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,012
Tête enseignante GPT0,234
Écart entre enseignants0,222 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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