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Enregistrement W4405338698 · doi:10.3389/fimmu.2024.1537054

Editorial: Single-domain antibodies—biology, engineering and emerging applications, volume II

2024· editorial· en· W4405338698 sur OpenAlexaff
Kevin A. Henry, Greg Hussack, Jan Gettemans, Cory L. Brooks

Notice bibliographique

RevueFrontiers in Immunology · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMonoclonal and Polyclonal Antibodies Research
Établissements canadiensNational Research Council CanadaUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésSingle-domain antibodyADAMTS13AntibodyComputational biologyImmunologyMedicineBiologyVon Willebrand factor

Résumé

récupéré en direct d'OpenAlex

Since the first volume of this Research Topic was published in 2017 (1), the single-domain antibody (sdAb) field has evolved dramatically. The first sdAb-based drug, the anti-von Willebrand factor caplacizumab (Cablivi), was approved for the treatment of acquired thrombotic thrombocytopenic purpura by the EMA and FDA in 2018 and 2019, respectively (2). The emergence of SARS-CoV-2 and response to the resulting COVID-19 pandemic firmly established the antiviral neutralization potency of sdAbs, especially well-designed multiparatopic molecules (3). The fields of cell therapy and chimeric antigen receptor (CAR) design have exploded, leading to six FDAapproved CAR-T cell therapies including ciltacabtagene autoleucel (Carvykti), a BCMAtargeted tandem sdAb-based product for the treatment of relapsed or refractory multiple myeloma (4). Recent approvals of ozoralizumab (Nanozora) in Japan (5), a trimeric sdAb targeting TNF and serum albumin for the treatment of rheumatoid arthritis, and envafolimab in China (6), a PD-L1-specific sdAb fused to IgG1 Fc for various advanced solid tumours, highlight growing momentum in the field. Clearly, sdAbs are no mere biological curiosities or niche research objects but an entirely distinct class of binding molecules that are now coming into their own. Some of the themes of the first volume also extend to the second. The advantages of sdAbs over conventional antibodies and their fragments in a variety of applications are clearly illustrated in the 12 original research articles and 2 reviews of this collection, which together provide a snapshot of trends and recent developments in the field. In particular, many of the articles in the second volume investigated uses of sdAbs for non-invasive imaging and as diagnostics, often to detect SARS-CoV-2.One original research article addressed the fundamental properties of sdAbs. In the largest study of this type conducted to date, Gordon et al. (7) compared the structures of 345 sdAb:antigen complexes and 892 conventional antibody:antigen complexes with the goal of understanding potentially distinct mechanisms of antigen recognition by sdAbs. In agreement with prior studies, the results of this analysis show that the paratopes of sdAbs are smaller than those of conventional antibodies; however, neither differences in paratope amino acid composition nor differences in the size (defined as the number of residues), amino acid composition or accessibility of epitopes targeted by sdAbs were evident. The explanation for this apparent contradiction is that within smaller sdAb paratopes, a longer complementarity-determining region 3 (CDR3) loop contributes a greater number of interactions per residue and framework residues are more likely to play a role in binding.One original research article investigated a new approach for camelid sdAb discovery. While many groups have integrated high-throughput sequencing of antibody repertoires into existing discovery pipelines in which antigen reactivity of individual clones is evaluated in vitro, Matsuda et al. ( 8) developed a predictive algorithm to identify antigen-specific sdAbs without in vitro screening by longitudinal sequencing and phylogenetic analysis of the peripheral repertoire. The basis for identifying antigenspecific sdAbs is the accumulation of somatic hypermutations and high turnover rates within clonal families during the process of affinity maturation. While preliminary characterization of antigen-specific sdAbs recovered using this strategy showed variable binding data across assays, and concurrent immune responses mounted against non-immunizing antigens including pathogens would be expected to confound predictions, the encouraging overall results indicate it may one day be possible to accurately identify antigen-specific sdAbs following immunization via sequencing of the peripheral blood repertoire.Two original research articles examined the ability of sdAbs, or even smaller antibody-derived fragments, to extend the serum persistence of biologics via binding to serum albumin. Harmsen et al. ( 9) isolated and characterized sdAbs from the repertoire of a llama immunized with dog and horse serum albumin. Unlike previous efforts in this regard, the sdAbs bound the albumins of various animal species including horse, dog, cat and swine -but did not recognize those of human or mouse -and extended the half-life of a tetanus toxin-specific sdAb in pigs and horses. These sdAbs would be useful for therapeutic studies of molecules with intrinsic short half-lives in these animals. One original research article tackled the challenging problem of developing antibodies that are able to specifically recognize particular conformational states of proteins. Zupancic et al. (20) identified llama sdAbs from yeast-displayed libraries using MACS-and FACS-based selection that preferentially recognize aggregated (fibrillar) tau over soluble monomeric tau. These sdAbs were able to recognize tau aggregates in brain samples from transgenic mice as well as patients with tauopathies, and may have diagnostic or therapeutic applications in neurodegenerative diseases.Regulatory approval of four sdAb-based drugs (three biologics and one CAR-T cell) has substantially altered perceptions and attitudes towards these molecules in the medical and scientific communities. With mainstream acceptance has come increased visibility and interest. However, efforts and investment continue to center on discovery and biotechnological applications of sdAbs, and much work still remains to understand the basic immunobiology of these unique molecules as well as how to generate, engineer, characterize and manufacture them most effectively.The editors would again like to thank all contributors for the many excellent submissions to this Research Topic, as well as the reviewers and the Frontiers in Immunology editorial office.

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)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,026
Score d'incertitude au seuil0,087

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,002
Communication savante0,0080,005
Science ouverte0,0030,001
Intégrité de la recherche0,0100,011
Charge utile insuffisante (le modèle a refusé de juger)0,0260,022

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 Opus0,006
Tête enseignante GPT0,270
Écart entre enseignants0,264 · 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'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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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