m+Medelevator.RU
← Поиск публикаций
Journal of inherited metabolic disease · 2026

The Grey Zone Project: Risk-Based Classification of ABCD1 Variants in X-Linked Adrenoleukodystrophy.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Lund Troy C, Miettunen Kelly, Jaspers Yorrick R J, Bergner Caroline, Bonkowsky Joshua L, Bruschi Fabio, Cohen Julie S, Dijkstra Inge M E, Eichler Florian S, Mallack Eric J, Salomons Gajja S, Thompson Robert, Tonduti Davide, van Haren Keith P, Wamelink Mirjam M C, Zerem Ayelet, Engelen Marc, Kemp Stephan

Аннотация

Newborn screening (NBS) for X-linked adrenoleukodystrophy (ALD) enables early identification of boys at risk for adrenal insufficiency (AI) and cerebral ALD (CALD). However, NBS frequently identifies ABCD1 variants of uncertain significance (VUS), which are associated with only borderline-elevated C26:0-lysophosphatidylcholine (LPC(26:0)) levels. Traditional American College of Medical Genetics and Genomics (ACMG) pathogenicity classification does not account for age-dependent penetrance or the broader phenotypic spectrum, complicating risk assessment and clinical management. Through the Grey Zone Project, we developed a risk-stratification framework using a receiver operating characteristic (ROC)-based approach prioritizing 95% sensitivity. This framework incorporates biochemical and longitudinal clinical data from 1627 control subjects and 196 confirmed ALD patients. Three pediatric risk categories were defined: "no ALD" (<110 nmol/L LPC(26:0)), "lower-risk AI/CALD" (110-177 nmol/L), and "at-risk AI/CALD" (>177 nmol/L). When applied to 108 samples carrying 51 unique ABCD1 VUSs, 26 variants were reclassified as "no ALD," 15 as "lower-risk AI/CALD," and 10 as "at-risk AI/CALD." The framework reclassifies ABCD1 variants based on biochemical risk profiles, reducing false-positive referrals, avoiding unnecessary MRI surveillance, and alleviating parental anxiety by identifying children who are unlikely to develop childhood-onset disease. Integrating biochemical thresholds with genetic and longitudinal clinical data improves the specificity of NBS without compromising its sensitivity. Providing systematic feedback on false-positive cases to screening laboratories will further refine cut-offs. This framework provides a scalable, evidence-based model for interpreting variants and enabling personalized follow-up in ALD and other disorders with a variable age of onset.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты