Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
REP1 deficiency causes systemic dysfunction of lipid metabolism and oxidative stress in choroideremia
Dulce Lima Cunha, … , Ailsa A. Welch, Mariya Moosajee
Dulce Lima Cunha, … , Ailsa A. Welch, Mariya Moosajee
Published March 23, 2021
Citation Information: JCI Insight. 2021;6(9):e146934. https://doi.org/10.1172/jci.insight.146934.
View: Text | PDF
Research Article Metabolism Ophthalmology

REP1 deficiency causes systemic dysfunction of lipid metabolism and oxidative stress in choroideremia

  • Text
  • PDF
Abstract

Choroideremia (CHM) is an X-linked recessive chorioretinal dystrophy caused by mutations in CHM, encoding for Rab escort protein 1 (REP1). Loss of functional REP1 leads to the accumulation of unprenylated Rab proteins and defective intracellular protein trafficking, the putative cause for photoreceptor, retinal pigment epithelium (RPE), and choroidal degeneration. CHM is ubiquitously expressed, but adequate prenylation is considered to be achieved, outside the retina, through the isoform REP2. Recently, the possibility of systemic features in CHM has been debated; therefore, in this study, whole metabolomic analysis of plasma samples from 25 CHM patients versus age- and sex-matched controls was performed. Results showed plasma alterations in oxidative stress–related metabolites, coupled with alterations in tryptophan metabolism, leading to significantly raised serotonin levels. Lipid metabolism was disrupted with decreased branched fatty acids and acylcarnitines, suggestive of dysfunctional lipid oxidation, as well as imbalances of several sphingolipids and glycerophospholipids. Targeted lipidomics of the chmru848 zebrafish provided further evidence for dysfunction, with the use of fenofibrate over simvastatin circumventing the prenylation pathway to improve the lipid profile and increase survival. This study provides strong evidence for systemic manifestations of CHM and proposes potentially novel pathomechanisms and targets for therapeutic consideration.

Authors

Dulce Lima Cunha, Rose Richardson, Dhani Tracey-White, Alessandro Abbouda, Andreas Mitsios, Verena Horneffer-van der Sluis, Panteleimon Takis, Nicholas Owen, Jane Skinner, Ailsa A. Welch, Mariya Moosajee

×

Figure 3

Alterations in tryptophan and hemoglobin metabolism pathways in CHM patients.

Options: View larger image (or click on image) Download as PowerPoint
Alterations in tryptophan and hemoglobin metabolism pathways in CHM pati...
(A) Pathway schematics and altered metabolites in tryptophan metabolism with decreased metabolites in green and increased in red. (B–E) Scatter dot plots of altered metabolites showing control (blue) and CHM (red) groups with mean ± SD (n = 25). (F) Schematic representation in the hemoglobin/heme metabolism pathway with decreased metabolites shown in green and increased metabolites in red. (G–J) Scatter dot plots of altered metabolites showing control (blue) and CHM (red) groups with mean ± SD (n = 25). P value was determined using matched pair t tests. #0.05 < P ≤ 0.1, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts