First Immunoassay for Measuring Isoaspartate in Human Serum Albumin.
Amino Acid Sequence
Antibodies, Monoclonal
/ immunology
Base Sequence
Chromatography, Liquid
Enzyme-Linked Immunosorbent Assay
Humans
Immunoassay
/ methods
Isoaspartic Acid
/ chemistry
Peptide Fragments
/ chemistry
Sensitivity and Specificity
Serum Albumin, Human
/ chemistry
Tandem Mass Spectrometry
blood analysis
enzyme-linked immunosorbent assay (ELISA)
human serum albumin (HSA)
in vitro diagnostics
mass spectrometry
monoclonal antibody (mAb)
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
05 Nov 2021
05 Nov 2021
Historique:
received:
07
09
2021
revised:
08
10
2021
accepted:
19
10
2021
entrez:
13
11
2021
pubmed:
14
11
2021
medline:
15
12
2021
Statut:
epublish
Résumé
Isoaspartate (isoAsp) is a damaging amino acid residue formed in proteins mostly as a result of spontaneous deamidation of asparaginyl residues. An association has been found between isoAsp in human serum albumin (HSA) and Alzheimer's disease (AD). Here we report on a novel monoclonal antibody (mAb) 1A3 with excellent specificity to isoAsp in the functionally important domain of HSA. Based on 1A3 mAb, an indirect enzyme-linked immunosorbent assay (ELISA) was developed, and the isoAsp occupancy in 100 healthy plasma samples was quantified for the first time, providing the average value of (0.74 ± 0.13)%. These results suggest potential of isoAsp measurements for supplementary AD diagnostics as well as for assessing the freshness of stored donor blood and its suitability for transfusion.
Identifiants
pubmed: 34771115
pii: molecules26216709
doi: 10.3390/molecules26216709
pmc: PMC8587401
pii:
doi:
Substances chimiques
Antibodies, Monoclonal
0
Isoaspartic Acid
0
Peptide Fragments
0
Serum Albumin, Human
ZIF514RVZR
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : China Scholarship Council
ID : KI-CSC
Organisme : FP7 EU project
ID : PredictAD
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