Evidence map›Paper›PMID 39976286›Full record

ArticleAnnals of neurology2025

Longitudinal Metabolomics in Amyotrophic Lateral Sclerosis Implicates Impaired Lipid Metabolism.

Kai Guo, Masha G Savelieff, Dae-Gyu Jang, Samuel J Teener, Lili Zhao, Junguk Hur, Stephen A Goutman, Eva L Feldman

Abstract read
In one paragraph

Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Kai Guo *Department of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-4651-781X
Masha G Savelieff *Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND.ORCID 0000-0001-5575-2494
Dae-Gyu JangDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0009-0009-7966-1322
Samuel J TeenerDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0009-0003-9072-8184
Lili ZhaoDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-6366-8206
Junguk HurDepartment of Biomedical Sciences, University of North Dakota, Grand Forks, ND.ORCID 0000-0002-0736-2149
Stephen A GoutmanDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0000-0001-8780-6637
Eva L FeldmanDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-9162-2694

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Mapping the ALS Exposome to Gain New Insights into Disease Risk and PathogenesisR01ES030049 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2020 to 2024
$3.5M
Developing novel strategies for personalized treatment and prevention of ALS: Leveraging the global exposome, genome, epigenome, metabolome, and inflammasome with data science in a case/control cohortR01NS127188 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2021 to 2024
$3.4M
Impact of Geospatial Factors and Environmental Pollutants on Amyotrophic Lateral Sclerosis in the State of MichiganK23ES027221 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GOUTMAN, STEPHEN · 2017 to 2021
$1.0M
ATSDR CDC HHS R01 TS000289CDC HHS R01TS000289Michigan Institute for Clinical and Health Research UL1TR000433National Center for Advancing Translational Sciences at the National Institutes of Health UL1TR002240NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR002240NIEHS NIH HHS K23 ES027221NIEHS NIH HHS K23ES027221NIEHS NIH HHS R01 ES030049NIEHS NIH HHS R01ES030049NINDS NIH HHS R01 NS127188NINDS NIH HHS R01NS127188the A. Alfred Taubman Medical Research Institutethe Coleman Therapeutic Discovery Fundthe Dr. Randall Whitcomb Fund for ALS Geneticsthe NeuroNetwork for Emerging Therapies, University of Michiganthe Peter R. Clark Fund for ALS Researchthe Robert A. Epstein and Joan M. Chernoff-Epstein Emerging Scholar Fundthe Scott L. Pranger ALS Clinic Fundthe Sinai Medical Staff Foundation
6 · The paper itself

Abstract

objectiveAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by altered metabolome and energy homeostasis, manifesting with body mass index changes and hypermetabolism-both prognostic of disease progression and survival. The cross-sectional ALS metabolome has been characterized, but longitudinal correlations to functional decline are lacking.

methodsWe longitudinally evaluated metabolomes from ALS plasma and terminal postmortem spinal cord and brain motor cortex tissue. We constructed 3 plasma models. A linear mixed effects model correlated all metabolite levels across all timepoints to their corresponding functional scores. An interaction model predicted a longitudinal change in function from baseline metabolites, whereas a progression model identified metabolites linked to a 20% or 50% drop in function. In postmortem samples, differential metabolites in onset versus second spinal cord segments served as a surrogate of disease progression. Mendelian randomization assessed potential causality from metabolites.

resultsIn plasma, all models primarily selected lipid metabolites and sub-pathways, in addition to amino acids, xenobiotics, and various less frequently selected pathways. Among lipids, fatty acids and sphingomyelins were predominant, along with plasmalogens, phosphatidylcholines, and lysophospholipids. Sex interaction findings were nominal. In the spinal cord, sphingomyelin and long-chain saturated and monounsaturated fatty acids were more abundant in the onset segment tissue, whereas phosphatidylcholines and phosphatidylethanolamines were less abundant. Mendelian randomization suggested that impaired carnitine and short chain acylcarnitine metabolism may be genetically determined in ALS, along with various antioxidant derivatives.

interpretationOur findings suggest metabolomic changes primarily involving different lipid classes and carnitine metabolism may underscore ALS severity and progression. ANN NEUROL 2025;98:19-34.

Indexed as

Amyotrophic Lateral SclerosisLipid MetabolismMetabolomeMetabolomicsAgedDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedMotor CortexSpinal Cord

Identifiers

PMID39976286
PMCPMC12174748

What OpenQuestion 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 OpenQuestion graph.