Evidence map›Paper›PMID 29190188›Full record

ArticlemAbs2018

Biomeasures and mechanistic modeling highlight PK/PD risks for a monoclonal antibody targeting Fn14 in kidney disease.

Xiaoying Chen, Vahid Farrokhi, Pratap Singh, Mireia Fernandez Ocana, Jenil Patel, Lih-Ling Lin, Hendrik Neubert, Joanne Brodfuehrer

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 1 institution in 1 country.

Xiaoying Chena Department of Biomedicine Design , Pfizer Inc , Cambridge , MA , United States of America.
Vahid Farrokhib Department of Biomedicine Design , Pfizer Inc , Andover , MA , United States of America.
Pratap Singhb Department of Biomedicine Design , Pfizer Inc , Andover , MA , United States of America.
Mireia Fernandez Ocanab Department of Biomedicine Design , Pfizer Inc , Andover , MA , United States of America.
Jenil Patelb Department of Biomedicine Design , Pfizer Inc , Andover , MA , United States of America.
Lih-Ling Linc Inflammation and Immunology Research Unit , Pfizer Inc. , Cambridge , MA , United States of America.
Hendrik Neubertb Department of Biomedicine Design , Pfizer Inc , Andover , MA , United States of America.
Joanne Brodfuehrera Department of Biomedicine Design , Pfizer Inc , Cambridge , MA , United States of America.
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovery of the upregulation of fibroblast growth factor-inducible-14 (Fn14) receptor following tissue injury has prompted investigation into biotherapeutic targeting of the Fn14 receptor for the treatment of conditions such as chronic kidney diseases. In the development of monoclonal antibody (mAb) therapeutics, there is an increasing trend to use biomeasures combined with mechanistic pharmacokinetic/pharmacodynamic (PK/PD) modeling to enable decision making in early discovery. With the aim of guiding preclinical efforts on designing an antibody with optimized properties, we developed a mechanistic site-of-action (SoA) PK/PD model for human application. This model incorporates experimental biomeasures, including concentration of soluble Fn14 (sFn14) in human plasma and membrane Fn14 (mFn14) in human kidney tissue, and turnover rate of human sFn14. Pulse-chase studies using stable isotope-labeled amino acids and mass spectrometry indicated the sFn14 half-life to be approximately 5 hours in healthy volunteers. The biomeasures (concentration, turnover) of sFn14 in plasma reveals a significant hurdle in designing an antibody against Fn14 with desired characteristics. The projected dose (>1 mg/kg/wk for 90% target coverage) derived from the human PK/PD model revealed potential high and frequent dosing requirements under certain conditions. The PK/PD model suggested a unique bell-shaped relationship between target coverage and antibody affinity for anti-Fn14 mAb, which could be applied to direct the antibody engineering towards an optimized affinity. This investigation highlighted potential applications, including assessment of PK/PD risks during early target validation, human dose prediction and drug candidate optimization.

Indexed as

Models, BiologicalAntibodies, MonoclonalDrug Administration ScheduleDrug DevelopmentDrug Dosage CalculationsFeasibility StudiesHumansKidneyKidney DiseasesRisk AssessmentRisk FactorsTWEAK ReceptorAntibodies, MonoclonalTNFRSF12A protein, humanTWEAK Receptoraffinity optimizationbiomeasuresFn14kidney diseasemodelingmonoclonal antibodyPK/PDsoluble targettarget validation

Identifiers

PMID29190188
PMCPMC5800393
OpenAlexW2774485569

What OpenQuestion holds

Textmetadata
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.