Longitudinal Metabolomics in Amyotrophic Lateral Sclerosis Implicates Impaired Lipid Metabolism.
Supporting Files
-
July 2025
-
Available in CDC Stacks on July 01, 2026, 12:00 AM
File Language:
English
Details
-
Alternative Title:Annals of Neurology, 2025, v. 98, no. 1: Longitudinal Metabolomics in Amyotrophic Lateral Sclerosis Implicates Impaired Lipid Metabolism.
-
Journal Article:Annals of Neurology
-
Personal Author:
-
Description:Amyotrophic 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.
We 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.
In 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.
Our findings suggest metabolomic changes primarily involving different lipid classes and carnitine metabolism may underscore ALS severity and progression. ANN NEUROL 2025;98:19-34. -
Content Notes:Author manuscript
-
Subjects:
-
Keywords:
-
Source:Annals of Neurology, 2025, v. 98, no. 1
-
DOI:
-
ISSN:0364-5134 ; 1531-8249
-
Pubmed ID:39976286
-
Pubmed Central ID:PMC12174748
-
Document Type:
-
Funding:UL1 TR000433/TR/NCATS NIH HHSUnited States/ ; the Scott L. Pranger ALS Clinic Fund/ ; the Peter R. Clark Fund for ALS Research/ ; the Dr. Randall Whitcomb Fund for ALS Genetics/ ; K23 ES027221/ES/NIEHS NIH HHSUnited States/ ; the Coleman Therapeutic Discovery Fund/ ; R01ES030049/ES/NIEHS NIH HHSUnited States/ ; R01 ES030049/ES/NIEHS NIH HHSUnited States/ ; UL1TR002240/National Center for Advancing Translational Sciences at the National Institutes of Health/ ; R01TS000289/CC/CDC HHSUnited States/ ; R01 NS127188/NS/NINDS NIH HHSUnited States/ ; K23ES027221/ES/NIEHS NIH HHSUnited States/ ; R01NS127188/NS/NINDS NIH HHSUnited States/ ; R01 TS000289/TS/ATSDR CDC HHSUnited States/ ; UL1TR000433/Michigan Institute for Clinical and Health Research/ ; the Robert A. Epstein and Joan M. Chernoff-Epstein Emerging Scholar Fund/ ; UL1 TR002240/TR/NCATS NIH HHSUnited States/ ; the Sinai Medical Staff Foundation/ ; the A. Alfred Taubman Medical Research Institute/ ; the NeuroNetwork for Emerging Therapies, University of Michigan/
-
Genre:
-
Pages in Document:19-34 (27 pdf pages)
-
Volume:98
-
Issue:1
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:2cb39ba8d2199d23c9edb8646aa71caa24cc1da478e6eed5735d7f20f74965e16c23d7bf9a4114fed621145b405680b9fb19a7f565f7041573f7ecbf7755e543
Supporting Files
File Language:
English
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings, journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
CDC Public Access