Evidence map›Paper›PMID 39866907›Full record

ArticleFrontiers in molecular neuroscience2024

Serum metabolomic signatures of patients with rare neurogenetic diseases: an insight into potential biomarkers and treatment targets.

Nalaka Wijekoon, Lakmal Gonawala, Pyara Ratnayake, Darshana Sirisena, Harsha Gunasekara, Athula Dissanayake, Dhammika Amaratunga, Harry W M Steinbusch, Yetrib Hathout, Eric P Hoffman and 3 more

Abstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2024. 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

13 authors.

Nalaka Wijekoon *Interdisciplinary Centre for Innovations in Biotechnology and Neuroscience, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Lakmal Gonawala *Interdisciplinary Centre for Innovations in Biotechnology and Neuroscience, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Pyara RatnayakeLady Ridgeway Hospital for Children, Colombo, Sri Lanka.
Darshana SirisenaColombo North Teaching Hospital, Ragama, Sri Lanka.
Harsha GunasekaraSri Jayewardenepura General Hospital, Colombo, Sri Lanka.
Athula DissanayakeTeaching Hospital Karapitiya, Galle, Sri Lanka.
Dhammika AmaratungaPrinceton Data Analytics, Princeton, NJ, United States.
Harry W M SteinbuschDepartment of Cellular and Translational Neuroscience, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
Yetrib HathoutSchool of Pharmacy and Pharmaceutical Sciences, Binghamton University, Binghamton, NY, United States.
Eric P HoffmanSchool of Pharmacy and Pharmaceutical Sciences, Binghamton University, Binghamton, NY, United States.
Ashwin DalalDiagnostics Division, Center for DNA Fingerprinting and Diagnostics, Hyderabad, India.
Chandra MohanDepartment of Bioengineering, University of Houston, Houston, TX, United States.
K Ranil D de SilvaInterdisciplinary Centre for Innovations in Biotechnology and Neuroscience, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To further advance our understanding of Muscular Dystrophies (MDs) and Spinocerebellar Ataxias (SCAs), it is necessary to identify the biological patterns associated with disease pathology. Although progress has been made in the fields of genetics and transcriptomics, there is a need for proteomics and metabolomics studies. The present study aimed to be the first to document serum metabolic signatures of MDs (DMD, BMD, and LGMD 2A) SCAs (SCA 1-3), from a South Asian perspective. Methods: A total of 28 patients (SCA 1-10, SCA 2-2, SCA 3-2, DMD-10, BMD-2, LGMD-2) and eight controls (aged 8-65 years) were included. Metabolomic analysis was performed by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS), with support from the Houston Omics Collaborative. Results and discussion: Amino acid metabolism was the primary altered super pathway in DMD followed by carbohydrate metabolism and lipid metabolism. In contrast, BMD and LGMD 2A exhibited a more prominent alteration in lipid metabolism followed by amino acid metabolism. In SCAs, primarily lipid, amino acid, peptide, nucleotide, and xenobiotics pathways are affected. Our findings offer new insights into the variance of metabolite levels in MD and SCA, with substantial implications for pathology, drug development, therapeutic targets and clinical management. Intriguingly, this study identified two novel metabolites associated with SCA. This pilot cross-sectional study warrants further research involving larger groups of participants, to validate our findings.

Indexed as

ataxiabiomarkerDMDLGMDmuscular dystrophypathwaysSCA

Identifiers

PMID39866907
PMCPMC11759312

What Socratic holds

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Registered trials

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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.