Evidence map›Paper›PMID 32001734›Full record

ArticleScientific reports2020

Anti-D monoclonal antibodies from 23 human and rodent cell lines display diverse IgG Fc-glycosylation profiles that determine their clinical efficacy.

Belinda M Kumpel, Radka Saldova, Carolien A M Koeleman, Jodie L Abrahams, Agnes Hipgrave Ederveen, Kathryn L Armour, Natalia I Olovnikova, Gestur Vidarsson, Rick Kapur, Pauline M Rudd and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. The Immunology of Transfusion Medicine: Past, Present, and Future.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  2. Article
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  5. Article
  6. Article
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  9. FcFrontiers in immunology · 2022
    Article
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  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Belinda M KumpelBristol Institute for Transfusion Sciences, International Blood Group Reference Laboratory, NHS Blood and Transplant, Bristol, UK. bm.kumpel@btinternet.com.
Radka SaldovaNIBRT Glycoscience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland.
Carolien A M KoelemanCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Jodie L AbrahamsNIBRT Glycoscience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland.
Agnes Hipgrave EderveenCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-1689-0442
Kathryn L ArmourDepartment of Pathology, University of Cambridge, Cambridge, UK.
Natalia I OlovnikovaNational Research Center for Hematology, Moscow, Russia.
Gestur VidarssonSanquin Research and Landsteiner Laboratory, Department for Experimental Immunohematology, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands. G.Vidarsson@sanquin.nl.ORCID http://orcid.org/0000-0001-5621-003X
Rick KapurSanquin Research and Landsteiner Laboratory, Department for Experimental Immunohematology, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-1608-876X
Pauline M RuddNIBRT Glycoscience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-0814-4995
Leiden University Medical Center · NLNational Institute for Bioprocessing Research and Training · IESanquin · NLNational Medical Research Center for Hematology · RUNHS Blood and Transplant · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-D immunoglobulin (Anti-D Ig) prophylaxis prevents haemolytic disease of the fetus and newborn. Monoclonal IgG anti-Ds (mAb-Ds) would enable unlimited supplies but have differed in efficacy in FcγRIIIa-mediated ADCC assays and clinical trials. Structural variations of the oligosaccharide chains of mAb-Ds are hypothesised to be responsible. Quantitative data on 12 Fc-glycosylation features of 23 mAb-Ds (12 clones, 5 produced from multiple cell lines) and one blood donor-derived anti-D Ig were obtained by HPLC and mass spectrometry using 3 methods. Glycosylation of mAb-Ds from human B-lymphoblastoid cell lines (B) was similar to anti-D Ig although fucosylation varied, affecting ADCC activity. In vivo, two B mAb-Ds with 77-81% fucosylation cleared red cells and prevented D-immunisation but less effectively than anti-D Ig. High fucosylation (>89%) of mouse-human heterohybridoma (HH) and Chinese hamster ovary (CHO) mAb-Ds blocked ADCC and clearance. Rat YB2/0 mAb-Ds with <50% fucosylation mediated more efficient ADCC and clearance than anti-D Ig. Galactosylation of B mAb-Ds was 57-83% but 15-58% for rodent mAb-Ds. HH mAb-Ds had non-human sugars. These data reveal high galactosylation like anti-D Ig (>60%) together with lower fucosylation (<60%) as safe features of mAb-Ds for mediating rapid red cell clearance at low doses, to enable effective, inexpensive prophylaxis.

Indexed as

AnimalsAntibodies, MonoclonalCell LineCricetulusErythroblastosis, FetalFucoseGalactoseGlycosylationHumansHybridomasImmunoglobulin GMiceN-Acetylneuraminic AcidRatsRho(D) Immune GlobulinTreatment OutcomeAntibodies, MonoclonalFucoseGalactoseImmunoglobulin GN-Acetylneuraminic AcidRHO(D) antibodyRho(D) Immune Globulin

Identifiers

PMID32001734
PMCPMC6992666
OpenAlexW3003191003

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.