Evidence map›Paper›PMID 40635623›Full record

ArticleJournal of inherited metabolic disease2025

Plasma Metabolomics, Lipidomics, and Acylcarnitines Are Associated With Vision and Genotype but Not With Dietary Intake in Long-Chain 3-Hydroxyacyl-CoA Dehydrogenase Deficiency (LCHADD).

Hak Chung, Dongseok Choi, Ashley Gregor, Elaine Sim, Alison Lau, Danielle Black, Hannah L Scanga, Angela Linshinski, Mark E Pennesi, Jose-Alain Sahel and 7 more

Abstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

17 authors.

Hak ChungDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.
Dongseok ChoiOHSU-PSU School of Public Health, Biostatistics, Oregon Health & Science University, Portland, Oregon, USA.
Ashley GregorDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.
Elaine SimDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.
Alison LauGraduate Program in Human Nutrition, Oregon Health & Science University, Portland, Oregon, USA.
Danielle BlackDivision of Genetic and Genomic Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hannah L ScangaDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Angela LinshinskiDivision of Genetic and Genomic Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Mark E PennesiCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA.
Jose-Alain SahelDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Ken K NischalDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Paul YangCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA.
Lesley EverettCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA.
Jerry VockleyRetina Foundation, Dallas, Texas, USA.
Dietrich MaternLaboratory Genetics, Mayo Clinic, Rochester, Minnesota, USA.
Cary O HardingDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.
Melanie B GillinghamDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.ORCID https://orcid.org/0000-0003-0897-8268

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell · 1995 to 2026
$19.4M
The Natural History of LCHAD RetinopathyR01HD095968 · NICHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI GILLINGHAM, MELANIE B · 2019 to 2024
$2.7M
NCATS NIH HHS UL1 TR000128NCATS NIH HHS UL1 TR001857NCATS NIH HHS UL1 TR002369NEI NIH HHS P30 EY010572NICHD NIH HHS R01 HD095968NIH HHS P30EY010572NIH HHS R01HD095968NIH HHS UL1TR000128NIH HHS UL1TR001857NIH HHS UL1TR002369
6 · The paper itself

Abstract

3-hydroxy acylcarnitines (3-OH-ACs) are key biomarkers for screening of long-chain 3-hydroxyacyl-CoA dehydrogenase and trifunctional protein deficiencies (LCHADD/TFPD). The utility of this biomarker for disease monitoring in identified patients remains debated, and recent suggestions have highlighted the potential use of lipidomics for diagnosis, monitoring, prognosis, and/or identification of new biomarkers. We evaluated the use of omics in LCHADD/TFPD patients by analyzing plasma acylcarnitine profiles, metabolomics, and lipidomics, combined with genotype, visual assessments, and dietary records. Fasting plasma from 39 participants with LCHADD/TFPD and 32 control subjects were analyzed through untargeted metabolomic and lipidomic analyses. In LCHADD/TFPD participants, acylcarnitine profiling, visual and retinal function assessments were performed, and 3-day diet records were collected. Relationships between acylcarnitines, metabolomics, lipidomics, along with visual outcomes and dietary intake were investigated. Plasma of LCHADD/TFPD participants exhibited elevated 3-OH-ACs, which correlated with genotype and visual outcomes. Metabolomics successfully distinguished LCHADD/TFPD from controls, and the biggest divergence was observed in lipid pathways. Metabolomic profiles tightly correlated with 3-OH-ACs, genotype, and visual outcomes. Lower concentrations of total lipids and some individual lipid species such as phosphoethanolamines (PE) were detected in LCHADD/TFPD, except for elevations in several certain triglycerides. LCHADD/TFPD participants followed a diet low in long-chain fat (LCFA) as recommended. LCFA intake did not correlate with either plasma 3-OH-ACs or metabolomics. 3-OH-ACs are strong consistent biomarkers of LCHADD/TFPD that are associated with clinical parameters of vision and genotype. We did not observe a relationship between dietary LCFA intake and 3-OH-ACs.

Indexed as

CardiomyopathiesCarnitineLipid Metabolism, Inborn ErrorsLong-Chain-3-Hydroxyacyl-CoA DehydrogenaseMitochondrial DiseasesMitochondrial MyopathiesMitochondrial Trifunctional ProteinMuscular DiseasesPeroxisomal DisordersRhabdomyolysisAdolescentAdultBiomarkersChildChild, PreschoolDietacylcarnitineBiomarkersCarnitineLong-Chain-3-Hydroxyacyl-CoA DehydrogenaseMitochondrial Trifunctional Protein3‐hydroxy acylcarnitines3‐hydroxy fatty acidsfatty acid oxidationfatty acid oxidation disorderslipidomicslong‐chain 3‐hydroxyacyl‐CoA dehydrogenase deficiencymetabolomics

Identifiers

PMID40635623
PMCPMC12258974

What OpenQuestion holds

Textmetadata
LicenceTDM
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.