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Record W4409638410 · doi:10.1016/j.ymgme.2025.109110

The use and performance of lyso-Gb3 for the diagnosis and monitoring of Fabry disease: A systematic literature review

2025· review· en· W4409638410 on OpenAlexaff
Uma Ramaswami, Michael L. West, Karen Tylee, Genaro Castillon, Andreas Albert Braun, Megan Ren, Indraraj Umesh Doobaree, Heena Howitt, Albina Nowak

Bibliographic record

VenueMolecular Genetics and Metabolism · 2025
Typereview
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsInro Consultants (Canada)Dalhousie University
FundersTakeda Pharmaceuticals International
KeywordsFabry diseaseLyso-MedicineInternal medicineDiseaseComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Fabry disease (FD) is a rare, X-linked lysosomal storage disorder in which a lack of alpha-galactosidase (α-Gal A) enzyme activity leads to intracellular accumulation of deacylated globotriaosylceramide (Gb3) and globotriaosylsphingosine (lyso-Gb3), and their analogs. Lyso-Gb3, present in the blood and urine of affected patients, has been extensively investigated as a biomarker for FD. This systematic literature review (SLR) aimed to comprehensively assess the use of lyso-Gb3 as a biomarker for screening, monitoring, and diagnosis of FD in both real-world and clinical trial settings. METHODS: An SLR was performed to identify the following outcomes in adult and pediatric patients with FD: lyso-Gb3 testing patterns, lyso-Gb3 levels in subpopulations, performance and accuracy of lyso-Gb3 testing for diagnosis, and lyso-Gb3 testing for monitoring of disease progression or treatment efficacy/effectiveness. Interventional and non-interventional studies published between 1 January 2017 and 3 November 2022 were included. Searches were primarily conducted in MEDLINE and Embase; pragmatic or hand searches were also performed. The methodological quality of included full-text studies was assessed using validated appraisal tools. Extracted data were synthesized qualitatively. RESULTS: The SLR included 83 eligible publications, comprising 71 observational studies and 12 clinical trials. Differences in lyso-Gb3 levels were identified across subpopulations, with several studies reporting higher levels in males versus females. Lyso-Gb3 demonstrated good diagnostic performance in newborns and high-risk patients when used in combination with other markers (α-Gal A activity or GLA variants) but failed to diagnose females with late-onset FD. Reliability and stability across different methods used to measure lyso-Gb3 was high, with a coefficient of variation <10 % for inter- and intra-assay measurements. Several studies identified moderate to strong correlation between plasma lyso-Gb3 levels and cardiac measures, but association with renal measures needs further investigation. CONCLUSIONS: Lyso-Gb3 testing demonstrated accuracy in screening, diagnosis, and monitoring of FD in certain subpopulations, particularly males, but considering its lower sensitivity in late-onset female patients, it should be used in conjunction with other tools. Given the reliability of the test, it can be considered a feasible method for monitoring disease progression in FD in individual patients. Several gaps in the literature were identified, warranting further investigation. REGISTRATION: PROSPERO (CRD42022375141).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.080
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.011
Bibliometrics0.0200.017
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.344
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2025
Admission routes1
Has abstractyes

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