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Record W4405338698 · doi:10.3389/fimmu.2024.1537054

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

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

Bibliographic record

VenueFrontiers in Immunology · 2024
Typeeditorial
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
Fundersnot available
KeywordsSingle-domain antibodyADAMTS13AntibodyComputational biologyImmunologyMedicineBiologyVon Willebrand factor

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0080.005
Open science0.0030.001
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0260.022

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.270
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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