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Enregistrement W4404026476 · doi:10.1093/jalm/jfae109

Algorithm for the Identification of Hemoglobin Wayne Interference on Hb A1c Measurement Using Intact Hemoglobin Protein Mass Spectrometry Analysis

2024· article· en· W4404026476 sur OpenAlexaff
Yu Zi Zheng, Adam J. McShane, Sihe Wang, Sarah L. Ondrejka, Jessica M Colón-Franco

Notice bibliographique

RevueThe Journal of Applied Laboratory Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineLibrary scienceMedical laboratoryGeneral hospitalFamily medicinePathologyComputer science

Résumé

récupéré en direct d'OpenAlex

The American Diabetes Association recommends hemoglobin A1c (Hb A1c) as one of the 4 diagnostic criterion for diabetes at a cutoff of ≥6.5% (47.5 mmol/mol) and to target a Hb A1c ≤7.0% (≤53.0 mmol/mol) in people with type 2 diabetes. Thus, correct Hb A1c measurement is vital to accurately diagnose and treat diabetes. We were consulted in a case with Hb A1c of 10.3% by the D-100TM cation exchange high performance liquid chromatography (HPLC) system (BioRad Laboratories), glucose of 105 mg/dL and Hb A1c of 5.8% by point-of-care (POC) (Case 1). On investigation, Hb Wayne, a frameshift elongated alpha chain variant, was identified by capillary electrophoresis (CE; Sebia). Although clinically silent, Hb Wayne interference with Hb A1c measurement by HPLC has been reported in patients with persistently elevated Hb A1c despite glycemic control measures, resulting in misdiagnosis, inadequate treatment, and patient harm (1–4). The isoforms Hb Wayne I and II are produced by deamination of Asn139 to Asp139, respectively, and coelute with and falsely elevate Hb F and Hb A1c. We adapted a previously reported algorithm for detecting Hb Wayne (4). Samples with Hb F >5% and Hb A1c >5.7% are investigated for concordance with glucose and Hb A1c by another method (i.e., POC, immunoassay or CE), either available in the patients’ medical record or referred to another laboratory. If discrepant, the hematology laboratory investigates Hb variants by CE. We also investigated whether a rapid intact protein mass spectrometry assay for Hb could be incorporated into the Hb Wayne investigation algorithm. Briefly, EDTA-anticoagulated whole blood was diluted (3% acetonitrile, 0.5% formic acid, and 1% trifluoroacetic acid in H2O) and centrifuged. Diluted supernatant was injected into a TLX-II LC system (C18 column, total LC time 5.5 min) coupled to the Q Exactive™ Hybrid Quadrupole-Orbitrap™ MS (ThermoFisher Scientific). Mass deconvolution was achieved using Thermo’s BioPharma Finder software, mass deconvolution algorithm is Xtract (isotopically resolved). All results are in monoisotopic mass. Hb alpha and beta chain mass tolerance were set within 0.5 Da. The assay sensitivity was determined in samples with Hb AA, Hb AS, and Hb SS and total Hb <6 g/dL. Ten replicates of Hb AA, Hb AS, and Hb SS were analyzed in a randomized sequence for intraassay precision, and twice per day for 5 days for interassay precision. Correct mass identification was achieved in all samples. Accuracy was assessed using a mixture of samples with previously characterized normal (Hb AA, n = 10) and abnormal hemoglobin variants (alpha/beta chain variants and homozygous/heterozygous variants: Hb SC, EE, AS, SS, AC, AD, combined S and G Philadelphia trait, n = 21), all of which were correctly identified. This study was approved by the Cleveland Clinic Institutional Review Board (10–297). In the 10 months after implementing the algorithm, 3 additional cases were identified, as follows: Case 2—HPLC Hb F 7.6% and Hb A1c 12.3%, glucose 168 mg/dL, Hb A1c 7.7% (POC); Case 3—HPLC Hb F 8.5% and Hb A1c 11.2%, glucose 98 mg/dL, Hb A1c 5.2% (CE); Case 4—HPLC Hb F 8.0% and Hb A1c 12.7%, glucose 175 mg/dL, Hb A1c 7.7% (CE). Hb A1c was significantly lower by POC or CE, methods unaffected by Hb Wayne. Hb Wayne was detected by CE and mass spectrometry (Fig. 1) in all cases. Hb A1c was reported using CE for cases 2–4. When Hb Wayne cases are identified, these are added to a laboratory database of samples known to have interferences affecting Hb A1c by HPLC. On repeated identification, these are routed for Hb A1c testing using alternative methodologies. Hb Wayne intact mass spectra. Normal Hb A α and β subunits, the α subunit of Hb Wayne I, and the Glutathionylated hemoglobin A beta subunit are depicted (left). Hb Wayne Hb A1c determination workflow using Hb intact protein mass spectrometry analysis (right). It is crucial to identify variants that interfere with accurate Hb A1c measurement. Our pilot results indicate that incorporating Hb identification by mass spectrometry into our workflow (Fig. 1) effectively identified Hb Wayne without a hematology laboratory workup. We propose future adoption of Hb intact protein mass spectrometry analysis to quickly investigate Hb interferences in Hb A1c measurement. There is a compelling argument to the superiority of mass spectrometry relative to classical methods for Hb variant detection (i.e., CE, gel electrophoresis, HPLC) in terms of throughput and analytical specificity. We must note that Hb intact protein mass spectrometry method has insufficient mass resolution to distinguish isobaric variants. Mass spectrometry-based methods for Hb variant analysis have been reported (5) but it is unlikely that these will be widespread soon. Barriers include the sophisticated equipment and software required for evaluation and interpretation. Further, if the Food and Drug Administration enacts its proposed rules on laboratory developed tests, supporting tests such as this will become prohibitively burdensome. The merits of exploring this innovation for hemoglobinopathy work ups will unlikely realize. Our study exemplifies one of many potential workflow improvements and clinical application of mass spectrometry-based Hb evaluation. We urge vendors of Hb A1c HPLC methods to alert for a potential Hb Wayne interference in their software and to separate this interference chromatographically. We also plea for the development of tools to facilitate broader adoption of Hb mass spectrometry-based techniques in clinical laboratories such as software to automatically interpret and translate Hb mass spectra into variant identification. Nonstandard Abbreviations: Hb A1c, hemoglobin A1c; POC, point-of-care; CE, capillary electrophoresis; Hb, hemoglobin. Author Contributions: The corresponding author takes full responsibility that all authors on this publication have met the following required criteria of eligibility for authorship: (a) significant contributions to the conception and design, acquisition of data, or analysis and interpretation of data; (b) drafting or revising the article for intellectual content; (c) final approval of the published article; and (d) agreement to be accountable for all aspects of the article thus ensuring that questions related to the accuracy or integrity of any part of the article are appropriately investigated and resolved. Nobody who qualifies for authorship has been omitted from the list. Authors’ Disclosures or Potential Conflicts of Interest: Upon manuscript submission, all authors completed the author disclosure form. Research Funding: The HPLC instrument used in the pilot study was provided by Thermo Fisher for the study duration. Disclosures: S. Wang, consulting fees from KingMed Diagnostics.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,548
Score d'incertitude au seuil0,530

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,281
Écart entre enseignants0,258 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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Même revueThe Journal of Applied Laboratory MedicineMême sujetHemoglobinopathies and Related DisordersTravaux en français237 207