Evidence map›Paper›PMID 41282336›Full record

ReviewJournal of pharmaceutical analysis2025

A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases.

Nguyen Thi Hai Yen, Nguyen Tran Nam Tien, Nguyen Quang Thu, Franklin Ducatez, Wladimir Mauhin, Olivier Lidove, Soumeya Bekri, Abdellah Tebani, Nguyen Phuoc Long

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Nguyen Thi Hai YenNormandie Univ, UNIROUEN, AIMS, SysMedLab, CHU Rouen, Department of Metabolic Biochemistry, Referral Center for Lysosomal Diseases, Filière G2M, Rouen, 76000, France.
Nguyen Tran Nam TienDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.
Nguyen Quang ThuDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.
Franklin DucatezNormandie Univ, UNIROUEN, AIMS, SysMedLab, CHU Rouen, Department of Metabolic Biochemistry, Referral Center for Lysosomal Diseases, Filière G2M, Rouen, 76000, France.
Wladimir MauhinInternal Medicine Department, Reference Center for Lysosomal Diseases, Groupe Hospitalier Diaconesses-Croix Saint Simon, AIMS, SysMedLab, Referral Center for Lysosomal Diseases, Filière G2M, Paris, 75020, France.
Olivier LidoveInternal Medicine Department, Reference Center for Lysosomal Diseases, Groupe Hospitalier Diaconesses-Croix Saint Simon, AIMS, SysMedLab, Referral Center for Lysosomal Diseases, Filière G2M, Paris, 75020, France.
Soumeya BekriNormandie Univ, UNIROUEN, AIMS, SysMedLab, CHU Rouen, Department of Metabolic Biochemistry, Referral Center for Lysosomal Diseases, Filière G2M, Rouen, 76000, France.
Abdellah TebaniNormandie Univ, UNIROUEN, AIMS, SysMedLab, CHU Rouen, Department of Metabolic Biochemistry, Referral Center for Lysosomal Diseases, Filière G2M, Rouen, 76000, France.
Nguyen Phuoc LongDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysosomal diseases (LDs) are a group of rare inherited disorders belonging to inborn metabolism errors. LDs are characterized by the excessive storage of undegraded substrates, most often due to the enzymatic deficiency resulting from disease-causing gene variants. LDs lead to dysregulated cellular pathways and imbalanced molecular homeostasis and can affect multiple organs and tissues. Despite being rare, LDs account for a significant incidence when considered collectively. Due to complex molecular and genetic fingerprints, considerable challenges in LD management must be overcome. Diagnosis can be significantly delayed due to the broad and nonspecific clinical manifestations and the lack of specific biomarkers. Available treatments fail to fully stop the disease progression and can alter the disease's typical phenotypes with novel manifestations. Therefore, a paradigm shift is crucial to better understand LDs and provide actionable insights. Herein, we comprehensively review the literature to demonstrate that multi-omics approaches are promising for pathophysiology elucidation, biomarker discovery, and precision therapy in LDs. We recommend adopting longitudinal study designs integrated with a multi-omics-empowered framework to facilitate mechanistic delineation, biomarker discovery, and treatment development. Relevant approaches exploring the association between LDs and common neurodegenerative disorders are also discussed, paving a potential path for improved therapeutic development and ultimately improving the patient's quality of life.

Indexed as

Biomarker discoveryDiagnosisInherited metabolic diseasesLysosomal diseasesMulti-omicsPersonalized treatment strategiesPrecision medicine

Identifiers

PMID41282336
PMCPMC12634851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.