Evidence map›Paper›PMID 36409759›Full record

ArticlePloS one2022

Assessment of innate immune response modulating impurities in glucagon for injection.

Qingxia Han, Zhongli Bao, Mary Ziping Luo, Jack Yongfeng Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors.

Qingxia HanAmphastar Pharmaceuticals, Inc., Rancho Cucamonga, California, United States of America.
Zhongli BaoAmphastar Pharmaceuticals, Inc., Rancho Cucamonga, California, United States of America.
Mary Ziping LuoAmphastar Pharmaceuticals, Inc., Rancho Cucamonga, California, United States of America.
Jack Yongfeng ZhangAmphastar Pharmaceuticals, Inc., Rancho Cucamonga, California, United States of America.ORCID 0000-0003-2524-5074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon for Injection is a polypeptide hormone medication used to treat patients with severe hypoglycemia or low blood sugar. Only recently, was a generic version of glucagon for injection approved by the FDA. While the generic version was deemed equivalent to its brand-name counterpart, the two glucagon products were produced using different manufacturing processes. The brand-name glucagon is produced via recombinant DNA while the generic glucagon is produced by peptide synthesis. Different manufacturing processes can result in different levels of innate immune response modulating impurities (IIRMIs). This study utilized a cell-based assay method, which allows for detection of a broad spectrum of impurities, to investigate the IIRMI risks of the generic glucagon to make sure it has similar or less immunogenicity risks than the brand-name glucagon product. Three commercial cell lines (RAW-Blue™, HEK-Blue™-hNOD1 and HEK-Blue™-hNOD2) carrying a secreted embryonic alkaline phosphatase reporter construct were used to quantify the level of innate immune responses after being treated with the glucagon drugs. The study results showed that despite differences in manufacturing process, the innate immunogenicity risk in the synthetic (generic) glucagon was at negligible level and comparable to the recombinant (brand-name) glucagon product.

Indexed as

GlucagonImmunity, InnateCell LineDrugs, GenericHumansInjectionsDrugs, GenericGlucagon

Identifiers

PMID36409759
PMCPMC9678265
OpenAlexW4309495104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.