A new strategy implementing mass spectrometry in the diagnosis of congenital disorders of N-glycosylation (CDG)

Author:

Casetta Bruno1ORCID,Malvagia Sabrina1,Funghini Silvia1,Martinelli Diego2,Dionisi-Vici Carlo2,Barone Rita3,Fiumara Agata4,Donati Maria Alice5,Guerrini Renzo16,la Marca Giancarlo17ORCID

Affiliation:

1. Newborn Screening, Biochemistry and Pharmacology Laboratory, Pediatric Neurology Unit and Laboratories , Meyer Children’s University Hospital , Florence , Italy

2. Division of Metabolism, Department of Pediatric Specialties , Bambino Gesù Children’s Hospital, IRCCS , Rome , Italy

3. Department of Clinical and Experimental Medicine , University of Catania , Catania , Italy

4. Department of Pediatrics, Regional Referral Center for Inherited Metabolic Disease , University of Catania , Catania , Italy

5. Metabolic and Neuromuscular Unit , Meyer Children’s University Hospital , Florence , Italy

6. Neuroscience Department , Meyer Children’s Hospital, University of Florence , Florence , Italy

7. Experimental and Clinical Biomedical Sciences , University of Florence , Florence , Italy

Abstract

Abstract Objectives Congenital disorders of N-glycosylation (CDG) are a large group of rare metabolic disorders caused by defects in the most common post-translational modification of proteins. CDGs are often difficult to diagnose as they are manifested with non-specific symptoms and signs. Analysis of serum transferrin (TRF) isoforms, as the classical procedure used to identify a CDG patient, enables to predict pathological steps in the N-linked glycosylation process. Methods We devised a new strategy based on liquid chromatography-mass spectrometry (LC-MS) for the analysis of TRF isoforms by combining a simple and fast sample preparation with a specific chromatographic cleanup/separation step followed by mass-spectrometric measurement. Single TRF isoform masses were obtained through reconstruction of multiply charged electrospray data collected by quadrupole-MS technology. Hereby, we report the first analyzed serum samples obtained from 20 CDG patients and 100 controls. Results The ratio of desialylated isoforms to total TRF was calculated for patients and controls. CDG-Type I patients showed higher amounts of bi-sialo isoform (range: 6.7–29.6%) compared to controls (<5.5%, mean percentage 3.9%). CDG-Type II pattern showed an increased peak of tri-sialo isoforms. The mean percentage of tri-sialo-TRF was 9.3% (range: 2.9–12.9%) in controls, which was lower than that obtained from two patients with COG5-CDG and MAN1B1-CDG (18.5 and 24.5%). Intraday and between-day imprecisions were less than 9 and 16%, respectively, for bi-sialo- and less than 3 and 6% for tri-sialo-TRF. Conclusions This LC-MS-based approach provides a simple, sensitive and fast analytical tool for characterizing CDG disorders in a routine clinical biochemistry while improving diagnostic accuracy and speeding clinical decision-making.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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