Evidence map›Paper›PMID 18661536›Full record

ReviewJournal of pharmaceutical sciences2009

Effects of glycosylation on the stability of protein pharmaceuticals.

Ricardo J Solá, Kai Griebenow

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing 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

240 citing papers in PubMed.

  1. Iterative evolution ofSynthetic and systems biotechnology · 2026
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180 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

2 authors.

Ricardo J SoláLaboratory for Applied Biochemistry and Biotechnology, Department of Chemistry, University of Puerto Rico, Río Piedras Campus, Facundo Bueso Bldg., Lab-215, PO Box 23346, San Juan, Puerto Rico 00931-3346.
Kai Griebenow

Funding

X-RAY STUDY OF SYNTHETIC OXYGEN CARRIERS RELATED TO BIOLOGICAL SYSTEMSS06GM008102 · NIGMS · UNIVERSITY OF PUERTO RICO RIO PIEDRAS · PI ARCE, RAFAEL · 1989 to 2008
$23.8M
NIGMS NIH HHS S06 GM008102NIGMS NIH HHS S06 GM08102
6 · The paper itself

Abstract

In recent decades, protein-based therapeutics have substantially expanded the field of molecular pharmacology due to their outstanding potential for the treatment of disease. Unfortunately, protein pharmaceuticals display a series of intrinsic physical and chemical instability problems during their production, purification, storage, and delivery that can adversely impact their final therapeutic efficacies. This has prompted an intense search for generalized strategies to engineer the long-term stability of proteins during their pharmaceutical employment. Due to the well known effect that glycans have in increasing the overall stability of glycoproteins, rational manipulation of the glycosylation parameters through glycoengineering could become a promising approach to improve both the in vitro and in vivo stability of protein pharmaceuticals. The intent of this review is therefore to further the field of protein glycoengineering by increasing the general understanding of the mechanisms by which glycosylation improves the molecular stability of protein pharmaceuticals. This is achieved by presenting a survey of the different instabilities displayed by protein pharmaceuticals, by addressing which of these instabilities can be improved by glycosylation, and by discussing the possible mechanisms by which glycans induce these stabilization effects.

Indexed as

Protein EngineeringDrug StabilityGlycosylationModels, ChemicalPharmaceutical PreparationsPolymersPolysaccharidesProtein DenaturationProteinsProtein StabilityPharmaceutical PreparationsPolymersPolysaccharidesProteins

Identifiers

PMID18661536
PMCPMC2649977

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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.