Evidence map›Paper›PMID 26496429›Full record

ArticlemAbs2016

Influence of molecular size on tissue distribution of antibody fragments.

Zhe Li, Ben-Fillippo Krippendorff, Sharad Sharma, Antje C Walz, Thierry Lavé, Dhaval K Shah

Abstract read
In one paragraph

Article in mAbs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
–field-weighted citation impact
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

103 citing papers in PubMed.

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  10. Design, build and test of a targeted synthetic protein strategy.Frontiers in bioengineering and biotechnology · 2026
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43 more citing papers are in PubMed but not listed here.

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.

Zhe Lia Department of Pharmaceutical Sciences ; School of Pharmacy and Pharmaceutical Sciences; The State University of New York at Buffalo ; Buffalo ; NY.
Ben-Fillippo Krippendorffb Roche Pharmaceutical Research and Early Development; Pharmaceutical Sciences; Quantitative Systems Pharmacology; Roche Innovation Center Basel ; CH - 4070; Basel.
Sharad Sharmaa Department of Pharmaceutical Sciences ; School of Pharmacy and Pharmaceutical Sciences; The State University of New York at Buffalo ; Buffalo ; NY.
Antje C Walzb Roche Pharmaceutical Research and Early Development; Pharmaceutical Sciences; Quantitative Systems Pharmacology; Roche Innovation Center Basel ; CH - 4070; Basel.
Thierry Lavéc Roche Pharmaceutical Research and Early Development; Pharmaceutical Sciences; Project Leaders and M&S; Roche Innovation Center Basel ; CH - 4070 Basel.
Dhaval K Shaha Department of Pharmaceutical Sciences ; School of Pharmacy and Pharmaceutical Sciences; The State University of New York at Buffalo ; Buffalo ; NY.

Funding

Translational Systems Pharmacokinetic Models of Novel Anticancer BiologicsR01GM114179 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHAH, DHAVAL K · 2015 to 2019
$1.7M
NIGMS NIH HHS GM114179NIGMS NIH HHS R01 GM114179
6 · The paper itself

Abstract

Biodistribution coefficients (BC) allow estimation of the tissue concentrations of proteins based on the plasma pharmacokinetics. We have previously established the BC values for monoclonal antibodies. Here, this concept is extended by development of a relationship between protein size and BC values. The relationship was built by deriving the BC values for various antibody fragments of known molecular weight from published biodistribution studies. We found that there exists a simple exponential relationship between molecular weight and BC values that allows the prediction of tissue distribution of proteins based on molecular weight alone. The relationship was validated by a priori predicting BC values of 4 antibody fragments that were not used in building the relationship. The relationship was also used to derive BC50 values for all the tissues, which is the molecular weight increase that would result in 50% reduction in tissue uptake of a protein. The BC50 values for most tissues were found to be ~35 kDa. An ability to estimate tissue distribution of antibody fragments based on the BC vs. molecular size relationship established here may allow better understanding of the biologics concentrations in tissues responsible for efficacy or toxicity. This relationship can also be applied for rational development of new biotherapeutic modalities with optimal biodistribution properties to target (or avoid) specific tissues.

Indexed as

Models, BiologicalAnimalsHumansImmunoglobulin FragmentsMolecular WeightTissue DistributionImmunoglobulin FragmentsAntibody FragmentsBiodistribution Coefficient (BC)BiologicsMonoclonal Antibody (mAb)PBPK ModelQSPKRTissue Distribution

Identifiers

PMID26496429
PMCPMC5040103

What OpenQuestion holds

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Registered trials

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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.