Evidence map›Paper›PMID 31443181›Full record

ArticleBiomolecules2019

Human FcRn Tissue Expression Profile and Half-Life in PBMCs.

Yao-Yun Fan, Vahid Farrokhi, Teresa Caiazzo, Mengmeng Wang, Denise M O'Hara, Hendrik Neubert

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Nipocalimab Dose Selection in Generalized Myasthenia Gravis.CPT: pharmacometrics & systems pharmacology · 2025
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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

6 authors at 1 institution in 1 country.

Yao-Yun FanBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA.
Vahid FarrokhiBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA.
Teresa CaiazzoBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA.
Mengmeng WangBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA.
Denise M O'HaraBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA.ORCID 0000-0003-3348-8113
Hendrik NeubertBiomedicine Design, Pfizer Worldwide Research & Development, Andover, MA 01810, USA. hendrik.neubert@pfizer.com.ORCID 0000-0002-8476-5427
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

System-wide quantitative characterization of human neonatal Fc receptor (FcRn) properties is critical for understanding and predicting human PK (pharmacokinetics) as well as the distribution of mAbs and Fc-fusion proteins using PBPK (physiologically-based pharmacokinetic) modeling. To this end, tissue-specific FcRn expression and half-life are important model inputs. Herein, human FcRn tissue expression was measured by peptide immunoaffinity chromatography coupled with high-resolution mass spectrometry. FcRn concentrations across 14 human tissues ranged from low to 230 pmol per gram of tissue. Furthermore, the FcRn half-life was determined to be 11.1 h from a human stable isotope labelled leucine pulse labeling experiment. The spatial and temporal quantitative human FcRn data now promise to enable a refined PBPK model with improved accuracy of human PK predictions for Fc-containing biotherapeutics.

Indexed as

AnimalsAntibodies, MonoclonalGene Expression ProfilingHalf-LifeHealthy VolunteersHistocompatibility Antigens Class IHumansLigandsRabbitsReceptors, FcAntibodies, MonoclonalFc receptor, neonatalHistocompatibility Antigens Class ILigandsReceptors, Fcantibodyhalf-lifehuman FcRnIA-LC-HRMSPBPKtissue-based target quantification

Identifiers

PMID31443181
PMCPMC6722552
OpenAlexW2969107478

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.