Evidence map›Paper›PMID 26736022›Full record

ReviewmAbs2016

Molecular basis of high viscosity in concentrated antibody solutions: Strategies for high concentration drug product development.

Dheeraj S Tomar, Sandeep Kumar, Satish K Singh, Sumit Goswami, Li Li

Open access · goldAbstract readReview
In one paragraph

Review in mAbs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 205 citations in OpenAlex.

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  15. Electrostatics and viscosity are strongly linked in concentrated antibody solutions.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Review
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27 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

5 authors at 1 institution in 1 country.

Dheeraj S Tomara Biotherapeutics Pharmaceutical Sciences Research and Development, Pfizer Inc. , 700 Chesterfield Parkway West, Chesterfield , Missouri , 63017 , USA.
Sandeep Kumara Biotherapeutics Pharmaceutical Sciences Research and Development, Pfizer Inc. , 700 Chesterfield Parkway West, Chesterfield , Missouri , 63017 , USA.
Satish K Singha Biotherapeutics Pharmaceutical Sciences Research and Development, Pfizer Inc. , 700 Chesterfield Parkway West, Chesterfield , Missouri , 63017 , USA.
Sumit Goswamia Biotherapeutics Pharmaceutical Sciences Research and Development, Pfizer Inc. , 700 Chesterfield Parkway West, Chesterfield , Missouri , 63017 , USA.
Li Lib Biotherapeutics Pharmaceutical Sciences Research and Development, Pfizer Inc ., 1 Burtt Road, Andover , Massachusetts , 01810 , USA.
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective translation of breakthrough discoveries into innovative products in the clinic requires proactive mitigation or elimination of several drug development challenges. These challenges can vary depending upon the type of drug molecule. In the case of therapeutic antibody candidates, a commonly encountered challenge is high viscosity of the concentrated antibody solutions. Concentration-dependent viscosity behaviors of mAbs and other biologic entities may depend on pairwise and higher-order intermolecular interactions, non-native aggregation, and concentration-dependent fluctuations of various antibody regions. This article reviews our current understanding of molecular origins of viscosity behaviors of antibody solutions. We discuss general strategies and guidelines to select low viscosity candidates or optimize lead candidates for lower viscosity at early drug discovery stages. Moreover, strategies for formulation optimization and excipient design are also presented for candidates already in advanced product development stages. Potential future directions for research in this field are also explored.

Indexed as

Models, ChemicalAnimalsAntibodies, MonoclonalHumansViscosityAntibodies, MonoclonalElectrostaticshigh concentrationhydrophobicityintermolecular interactionsmonoclonal antibody solutionnetworksviscosity

Identifiers

PMID26736022
PMCPMC5074600
OpenAlexW2229692518

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.