Evidence map›Paper›PMID 31583777›Full record

ArticleProtein science : a publication of the Protein Society2019

Human serum albumin presents isoform variants with altered neonatal Fc receptor interactions.

Yann Leblanc, Marie Berger, Alexander Seifert, Nicolas Bihoreau, Guillaume Chevreux

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Human serum albumin presents isoform variants with altered neonatal Fc receptor interactions.Protein science : a publication of the Protein Society · 2019
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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.

Yann LeblancAnalytical Department of LFB Biotechnologies, Courtabœuf, France.
Marie BergerAnalytical Department of LFB Biotechnologies, Courtabœuf, France.
Alexander SeifertAnalytical Department of LFB Biotechnologies, Courtabœuf, France.
Nicolas BihoreauAnalytical Department of LFB Biotechnologies, Courtabœuf, France.
Guillaume ChevreuxAnalytical Department of LFB Biotechnologies, Courtabœuf, France.ORCID 0000-0003-3452-2125
LFB (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human serum albumin (HSA) is the most abundant protein in plasma and presents the particularity, with IgG, to have an extraordinary long serum half-life conferred by its interaction with the neonatal Fc receptor (FcRn). If the impact of IgG post-translational modifications (PTMs) on FcRn binding is well documented, it is far less reported for HSA despite numerous PTMs occurring on the protein in plasma. HSA is susceptible to numerous degradation reactions in plasma, because of aging, oxidative stress or liver and pancreas related pathologies. In the present study, we combined FcRn affinity chromatography and mass spectrometry to investigate the impact of HSA PTMs upon FcRn binding. This methodology presents the advantage to distinguish the effect of a single modification from a plasma HSA preparation made of a mixture of different isoforms. Cys

Indexed as

Chromatography, AffinityHistocompatibility Antigens Class IHumansProtein BindingProtein IsoformsReceptors, FcSerum Albumin, HumanFc receptor, neonatalHistocompatibility Antigens Class IProtein IsoformsReceptors, FcSerum Albumin, Humanalbuminhalf-lifehypoalbuminemianeonatal Fc receptorpost-translational modifications

Identifiers

PMID31583777
PMCPMC6798133
OpenAlexW2977690343

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.