Evidence map›Paper›PMID 41787388›Full record

ArticleBMC medicine2026

Hypothesis-free evaluation of circulating metabolome provides cell-specific insights regarding the role of energy substrate availability in amyotrophic lateral sclerosis.

Elham Alhathli, Johnathan Cooper-Knock, Zain-Ul-Abideen Girach, Thomas H Julian, Claudia Bauer, Hannah O Timmons, Billie D Ward, Heather Walker, Mimoun Azzouz, Mohamed A Elrayess and 11 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

21 authors.

Elham Alhathli *Sheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Johnathan Cooper-Knock *Sheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK. j.cooper-knock@sheffield.ac.uk.
Zain-Ul-Abideen GirachSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Thomas H JulianDivision of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK.
Claudia BauerSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Hannah O TimmonsSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Billie D WardSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Heather WalkerSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Mimoun AzzouzSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Mohamed A ElrayessBiomedical Research Center (BRC), QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Fatima Al-KhelaifiAnti-Doping Laboratory Qatar, Doha, Qatar.
Noha A YousriComputer and Systems Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt.
Aytac GulDepartment of Medical Biology, Tayfur Ata Sökmen Medical Faculty, Hatay Mustafa Kemal University, Antakya, Turkey.
Alan KelsallSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Tobias MollSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Calum HarveySheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Sarah GornallSheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Kari WongMetabolon Inc, Durham, NC, USA.
Scott P Allen *Sheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK.
Andrew Strange *Sheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK. a.strange@sheffield.ac.uk.
Pamela J Shaw *Sheffield Institute for Translational Neuroscience, University of Sheffield, Glossop Road, Sheffield, S10 2HQ, UK. pamela.shaw@sheffield.ac.uk.

Funding

Academy of Medical Sciences SBF005\1064Motor Neurone Disease Association 894-791Motor Neurone Disease Association 956-799My Name'5 Doddie Foundation DOD/14/43National Institute for Health and Care Research NF-SI-0617-10077NIHR Sheffield Biomedical Research Centre NIHR 203321UK Research and Innovation MR/Z504105/1
6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with limited therapeutic options. The circulating metabolome comprises small molecules present in plasma/serum which are the intermediates and end-products of cellular metabolism, and is linked to ALS pathogenesis.

methodsWe conducted hypothesis-free two-sample Mendelian randomisation (MR) analysis of the concentration of 575 plasma/serum metabolites, to determine which are causally linked to risk of ALS. Significant metabolites were validated in an independent GWAS of plasma/serum metabolite concentrations and evaluated for sex-specific effects. Correlations between directly measured patient biofluid metabolite concentrations and ALS risk/severity were examined in 94 ALS patients and 40 controls. We experimentally assessed metabolic function in a murine neurons and human astrocytes carrying an ALS-associated G4C2-repeat expansion within C9orf72.

resultsMR causally associated five metabolites with ALS risk after multiple-testing correction. Higher serum concentration of glycoprotein acetyls (P = 9.7e - 9, β = 0.21) and the peptide DSGEGDFXAEGGGVR (P = 8.0e - 6, β = 0.22) was associated with increased ALS risk, whereas higher plasma concentration of phenylalanylserine, isobutyrylcarnitine, and acetylcarnitine was protective (P < 5e - 5, β = - 0.29 to - 0.72). DSGEGDFXAEGGGVR has been linked to glucose metabolism but we have used genetic fine-mapping to link DSGEGDFXAEGGGVR, neuronal glucose uptake through GLUT3, and ALS risk. Direct measurement of metabolite concentrations in patient biofluids revealed elevated acetylcarnitine levels in patients with ALS, which were associated with delayed symptom onset (Cox regression, P = 0.02, HR = 0.4). Similarly, lactate is elevated in ALS patient CSF (ANOVA, P = 1.3e - 3) and in patients with longer survival time (Cox regression, P = 0.03, HR = 0.3). Plasma fructose is elevated in ALS patients with shorter survival time (Cox regression, P = 0.02, HR = 1.1). In vitro, neurons and astrocytes carrying an ALS-associated G4C2-repeat expansion within C9orf72 demonstrated reduced metabolic flexibility.

conclusionsWe provide evidence that impaired energy substrate availability contributes to ALS risk and severity. CNS cell types differ in their use of energy substrates and therefore we postulate the relative importance of different cell types for different stages of disease. Our findings support further investigation of metabolic interventions to treat or prevent ALS.

Indexed as

Amyotrophic Lateral SclerosisEnergy MetabolismMetabolomeAnimalsAstrocytesC9orf72 ProteinFemaleHumansMaleMendelian Randomization AnalysisMiceNeuronsC9orf72 ProteinAcetylcarnitineAmyotrophic lateral sclerosisCarnitine shuttleCerebrospinal fluidEnergy metabolismGLUT3Mendelian randomisationMetabolomicsNeuronal vulnerability

Identifiers

PMID41787388
PMCPMC13077999

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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 OpenQuestion graph.