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Enregistrement W1960555797 · doi:10.18632/oncotarget.4402

Efferocytosis: Burying cell corpses to regulate tolerance and immunity

2015· editorial· en· W1960555797 sur OpenAlexaff
Maziar Divangahi

Notice bibliographique

RevueOncotarget · 2015
Typeeditorial
Langueen
DomaineImmunology and Microbiology
ThématiquePhagocytosis and Immune Regulation
Établissements canadiensMcGill University Health CentreChristie (Canada)
Organismes subventionnairesnon disponible
Mots-clésEfferocytosisImmunityMedicineCell mediated immunityImmunologyBiologyCell biologyImmune systemMacrophageGenetics

Résumé

récupéré en direct d'OpenAlex

It is remarkable that every second approximately one million of our cells die via apoptosis, yet the collateral damage incurred (e.g. onset of autoimmune disease) remains relatively rare [1]. Disposal of this massive number of cell corpses evolved to not only maintain homeostasis but also prevent dissemination of intracellular pathogens and promote host defense. For instance, during infection with Mycobacterium tuberculosis (Mtb), processing of infected apoptotic cells by macrophages [2] and dendritic cells (DC) [3] enhances anti-bacterial innate and adaptive immune responses. Uptake of apoptotic bodies by phagocytes to maintain or resume homeostatic conditions and prevent pathology is mediated through an elegant process called efferocytosis (Efferre in Latin means “to bury”). Recent studies have shown that efferocytosis differs from classical phagocytosis in several respects including the use of distinct receptors, bridging proteins and signaling pathways. Specifically, efferocytosis depends on three main steps: (1) a “find-me” signal or the release of soluble mediators from apoptotic cells that recruit phagocytes; (2) an “eat-me” signal including exposure of a unique set of engulfment ligands on the surface of apoptotic cells leading to their recognition by phagocytes; and (3) the formation of the efferosome (a specific phagosome) and its degradation [4]. The best characterized eat-me signal is the exposure of phosphatidylserine (PS) on the surface of apoptotic cells. However, PS alone is not sufficient in triggering engulfment and other eat-me signals are required for optimum efferocytosis. Annexin 1 is a member of the annexin family first shown to co-localize with PS on the surface of apoptotic cells promoting efficient efferocytosis under physiological conditions in Caenorhabditis elegans [5]. Consistently, we recently demonstrated that this pathway is also operational in mammalian cells and plays an essential role in immunity to Mtb. During Mtb infection, annexin 1 in DCs increased efferocytosis and enhanced the capacity of antigen-presenting machinery leading to more efficient cross-presentation of antigens to CD8 T cells. Considering that annexin 1 is an essential eat-me signal under both physiological and immunogenic conditions, how does the immune system distinguish between these settings to promote host defense and prevent autoimmunity? We envision that apoptotic cells expose two sets of “eat-me” signals on their plasma membrane. One set is common to both immunogenic and tolerogenic apoptotic cells facilitating recognition/internalization under both conditions (e.g. PS or annexin 1). The second set is more unique to immunogenic apoptotic cells that are undergoing death due to infection and potentially exposing differential levels of surface markers involved in anti-microbial immunity. For instance activation of pattern recognition receptors have been shown to be critical for induction of immunogenic apoptosis during mycobacterial infection [6]. Certainly, further experiments are needed to identify the molecular mechanisms involved in this process. In addition, the machinery of the immunogenic efferosome in macrophages versus DC may differ. For instance, Mtb-infected macrophages that die via apoptosis are rapidly efferocytosed by uninfected macrophages, which ultimately results in lysosome fusion and destruction of Mtb [2]. However, the mechanisms by which antigens derived from the efferosome are acquired by DC are still poorly understood. Our data suggest that annexin 1 is also involved in autophagy which may facilitate access to antigens for cross-presentation [3]. Future studies are necessary to assess the fate of efferosome in DC. As we have evolved with such a refined immune system, pathogens have also developed sophisticated mechanisms in-step to deal with our immunity including hijacking process involved in cell death. Although efferocytosis of apoptotic Mtb-infected macrophages by macrophages/DC is beneficial to the host, some other intracellular pathogens have evolved to subvert efferocytosis for their own survival. For instance, efferocytois of apoptotic Leishmania major-infected neutrophils by macrophages may promote infection as the bacteria appears to utilize efferocytosis as “Trojan Horse” for getting access into the macrophages for replication [7]. Thus the arms race between pathogens and hosts will persist indefinitely.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,263
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,010
Tête enseignante GPT0,252
Écart entre enseignants0,242 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations2
Publié2015
Routes d'admission1
Résumé présentoui

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