Evidence map›Paper›PMID 30686829›Full record

ArticleChromatographia2017

Profiling the Photochemical-Induced Degradation of Rat Growth Hormone with Extreme Ultra-pressure Chromatography-Mass Spectrometry Utilizing Meter-Long Microcapillary Columns Packed with Sub-2-μm Particles.

Olivier Mozziconacci, Jordan T Stobaugh, Rupesh Bommana, Joshua Woods, Edward Franklin, James W Jorgenson, M Laird Forrest, Christian Schöneich, John F Stobaugh

Open access · greenAbstract read
In one paragraph

Article in Chromatographia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Analysis of NAnalytical biochemistry · 2021
    Article
  3. Liquid chromatography above 20,000 PSI.Trends in analytical chemistry : TRAC · 2020
    Article
  4. Review
  5. Review
  6. 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

9 authors at 4 institutions in 1 country.

Olivier MozziconacciDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
Jordan T StobaughAbbvie, Inc., 1 North Waukegan Road, North Chicago, IL 66064.
Rupesh BommanaDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
Joshua WoodsDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
Edward FranklinRestek Corporation, 110 Benner Circle, Bellefonte, PA 16823.
James W JorgensonDepartment of Chemistry, The University of North Carolina, Chapel Hill, NC 27599.
M Laird ForrestDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
Christian SchöneichDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
John F StobaughDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS 66047.
University of Kansas · USAbbVie (United States) · USMatTek Corporation (United States) · USUniversity of North Carolina at Chapel Hill · US

Funding

Biomaterials for treatment of head and neck cancerR01CA173292 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI FORREST, MARCUS LAIRD · 2013 to 2017
$1.4M
NCI NIH HHS R01 CA173292
6 · The paper itself

Abstract

In recent years protein therapeutics have seen increasing use in the therapeutic arena. As with traditional small molecule drug substances, one is obligated to ensure purity and stability of the various dosage forms. With these higher molecular weight therapeutics a common approach for analytical characterization is enzymatic digestion followed by gradient elution liquid chromatography with mass spectrometry detection to create a peptide map (bottom-up protein analysis). Due to the difficult to separate mixtures frequently encountered, there is the need for advanced chromatographic systems featuring increased resolution and/or peak capacity that can be operated in the gradient elution format. Presently we describe an extreme ultra-pressure liquid chromatography (XUPLC) system that has been implemented as an in-house add-on to a commercial ultra-pressure chromatography system. This add-on allows operation at the 38 Kspi range, accommodates the use of capillary columns in excess of one meter packed with sub-2 μm particles and can be operated in the gradient elution format. To evaluate the utility of this system, rat growth hormone was used as a model protein and was exposed to light (λ 254 nm) to create a stress environment. When enzymatic digests of control and stressed protein were analyzed with the XUPLC system using MS detection, greater than 92% peptide coverage was achieved, including the identification some peptides where pre-oxidation of Met residues had occurred, as well as chemistry specifically related to the photolysis of protein disulfide linkages. When the same samples were analyzed by commercial UPLC and compared to the XUPLC results, the utility of the increased peak capacity available with the XUPLC was apparent as previously co-eluting peaks were now well resolved. In particular one specific degradation route was identified where a pair of isobaric cis/trans diastereomerically related peptides were well resolved by XUPLC while they were unresolved by UPLC. Clearly the use of this system operating at the higher pressure regime with long capillary columns is and will be useful in continued investigations of protein stability, especially in cases where only subtle differences in the amino acid residues have occurred during degradation.

Indexed as

Meter capillary columnsPhotochemical mediated protein degradationSub-2 μm particlesXUPLC

Identifiers

PMID30686829
PMCPMC6346430
OpenAlexW2731176399

What OpenQuestion holds

Textmetadata
LicenceTDM
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.