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Enregistrement W2587146175 · doi:10.1182/blood.v126.23.3337.3337

Molecular Characterization of 140 Patients in the Pyruvate Kinase Deficiency (PKD) Natural History Study (NHS): Report of 20 New Variants

2015· article· en· W2587146175 sur OpenAlexaffabout
Paola Bianchi, Elisa Fermo, Kimberly Lezon-Geyda, Patrick G. Gallagher, D. Holmes Morton, Wilma Barcellini, Bertil Glader, Stefan Eber, Jenny M. Despotovic, Christine Knoll, Hassan M. Yaish, Peter E. Newburger, Jennifer Rothman, Alexis A. Thompson, Yaddanapudi Ravindranath, Kerri Nottage, Heng Wang, Eduard J. van Beers, Joachim B. Kunz, Marcin W. Włodarski, Mukta Sharma, Melissa J. Rose, Yves Pastore, Patricia J. Giardina, Melissa Rhodes, Kevin H.M. Kuo, Dongjing Guo, Wendy B. London, Rachael F. Grace

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensUniversity of TorontoUniversity Health NetworkCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésMissense mutationPyruvate kinase deficiencySanger sequencingCompound heterozygosityGeneticsBiologyFrameshift mutationGenotypeMutationGeneMedicinePyruvate kinaseGlycolysisEnzyme

Résumé

récupéré en direct d'OpenAlex

Abstract Background: PKD is the most common enzyme defect of the glycolytic pathway causing hereditary non-spherocytic chronic hemolytic anemia. PKD is transmitted as an autosomal recessive trait, caused by both homozygous and compound heterozygote mutations in the PKLR gene, and is characterized by molecular heterogeneity with > 200 different mutations reported. Aim: To describe the PKLR genotypes in the PKD NHS with an in depth characterization of 20 newly reported mutations. Methods: Participants (pts) were enrolled in the PKD NHS, a prospective international study open at 23 sites in North America and Europe. Pts with prior PKLR gene sequencing were not resequenced. DNA from all other pts was extracted and the PKLR gene analyzed by Sanger sequencing at 1 of 2 central labs. All new missense mutations affected highly conserved residues in multiple domains of the PKLR gene, were not detected in 1000 genomes and LOVD database, and were considered pathogenic by NCBI and/or UniProtKB and by Polyphen analysis. Results: Genotype information was available on 140 enrolled pts. Of these, 66 (47%) were related to other subjects enrolled in the study. Molecular characterization confirmed the wide heterogeneity of PKD with 65 different mutations identified, including: 42 missense, 20 disruptive mutations (7 splicing, 6 frameshift, 3 stop codons, and 4 large deletions), 2 inframe insertion/deletions, and 1 promoter variant. Sixty-six pts were homozygous, of whom 55 were of Amish origin carrying the p.R479H mutation. Of the 55, 46 had been transfusion dependent prior to splenectomy and 9 had only received transfusions for acute stressors; 93% had been splenectomized, and all were transfusion independent post-splenectomy. Thirty-nine cases had 2 different missense mutations; 18 had one missense and one disruptive mutation, and 16 had 2 disruptive mutations; 1 patient with 17% residual PK activity displayed 3 different mutations (R510W, E241X and V276WXfs45). Besides R479H, the most common mutations were: R510W (16% of the mutated alleles), R486W (12%), and G241X (9%). Frequencies of R510W and R486W were less than those reported in Europe (41% and 30%, respectively). Twenty mutations, all affecting the PK structural domains, have not been previously described: 14 missense, 3 splicing (c.966(-9) a>g; c.1116(+2) t>c; c.375(+1) g>a), 1 frameshift (R40R fsX7), 1 inframe insertion of 2 amino acids, and 1 large deletion spanning intron 2 to intron 3 (Table). The 3 new splice site mutations were predicted to affect normal splicing when analyzed by HSF3.0, using both HSF and MaxEnt algorithms; in particular, homozygous c.966(-9) a>g was detected in a patient with moderate anemia, reticulocytosis, and mental retardation of unclear etiology. The two new missense mutations detected at a homozygous level (A137V and N156G) were associated with moderate or severe anemia and need for regular transfusions. The latter is located in the Aβ3 catalytic domain/K binding site and probably affects the catalytic efficiency of the enzyme. All the remaining new variants were detected in compound heterozygosity making it difficult to predict their effect on clinical phenotype. Intra-family clinical variability was observed; no correlation was found among the kinds of mutations and the residual PK activity. Conclusion: The molecular features of the largest international cohort of PKD pts are described, including a report of 20 new mutations, thus confirming the wide heterogeneity of the molecular genotype in PKD. Figure 1. Figure 1. Disclosures Morton: Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Eber:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yaish:Agios: Membership on an entity's Board of Directors or advisory committees. Nottage:Janssen Pharmaceuticals: Employment. Kuo:Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees. Grace:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,022
Tête enseignante GPT0,244
Écart entre enseignants0,223 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations4
Publié2015
Routes d'admission2
Résumé présentoui

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