Evidence map›Paper›PMID 42353803›Full record

ReviewGenes2026

Next-Generation Sequencing and Variant Cataloguing for Screening and Diagnosis of Mucolipidoses and Other Lysosome-Related Organelle Disorders, Including Lysosomal Membrane or Transport Disorders.

Irina Vlasova-St Louis, Svetlana Khaiboullina

Abstract readReview
In one paragraph

Review in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Irina Vlasova-St LouisVinnana AI LLC, Sheridan, WY 82601, USA.ORCID 0000-0003-0795-4723
Svetlana KhaiboullinaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has transformed the diagnostic landscape for inherited metabolic diseases by enabling high-resolution detection of pathogenic variants across genetically heterogeneous lysosomal pathways. This is particularly impactful for lysosomal diseases (LDs), including the mucolipidoses (ML I-IV), and for disorders involving lysosomal membranes, transporters, and lysosome-related organelles (LROs). These conditions often present with overlapping biochemical and clinical features that historically complicated accurate diagnosis. This review synthesizes current knowledge on the application of next-generation sequencing (NGS) technologies in the detection and interpretation of variants underlying mucolipidoses types I-IV and selected LRO and lysosomal membrane transport disorders. We summarize expanded variant catalogues, genotype-phenotype correlations, and functional evidence informing pathogenicity classification. In addition, we discuss the integration of NGS into newborn screening and population-level genomics. Collectively, these advances have refined disease definitions, resolved diagnostically challenging cases, and reshaped clinical workflows across the LD and LRO disease spectra.

Indexed as

High-Throughput Nucleotide SequencingLysosomal Storage DiseasesLysosomesMucolipidosesHumansHermansky-Pudlak syndrome type I–XIHPSlysosomal diseaseslysosome-related organellesmucolipidoses types I–IVnext-generation sequencingwhole-exome sequencingwhole-genome sequencing

Identifiers

PMID42353803
PMCPMC13300730

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.