Publication

Convergent cerebrospinal fluid proteomes and metabolic ontologies in humans and animal models of Rett syndrome

Downloadable Content

Persistent URL
Last modified
  • 05/14/2025
Type of Material
Authors
    Stephanie A. Zlatic, Emory UniversityDuc Duong, Emory UniversityKamal K.E. Gadalla, Edinburgh Medical SchoolBrenda Murage, Edinburgh Medical SchoolLingyan Ping, Emory UniversityRuth Shah, University of EdinburghJames J. Fink, Q-State Biosciences, Inc.Omar Khwaja, Children's Hospital BostonLindsay C. Swanson, Children's Hospital BostonMustafa Sahin, Children's Hospital BostonSruti Rayaprolu, Emory UniversityPrateek Kumar, Emory UniversitySrikant Rangaraju, Emory UniversityAdrian Bird, University of EdinburghDaniel Tarquinio, Emory UniversityRandall Carpenter, Rett Syndrome Research TrustStuart Cobb, Edinburgh Medical SchoolVictor Faundez, Emory University
Language
  • English
Date
  • 2022-09-16
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2022 The Author(s)
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 25
Issue
  • 9
Start Page
  • 104966
End Page
  • 104966
Grant/Funding Information
  • VF was funded by the Rett Syndrome Research Trust, the Loulou Foundation, and NIH 1RF1AG060285. S Rangaraju was partly funded by the NIH (5R01NS114130). S Rayaprolu was partly supported by the NIH (F32 AG064862).SC was funded by the Rett Syndrome Research Trust and Simons Initiative for the Developing Brain. JJF was funded by the Rett Syndrome Research Trust. VF is grateful for mitochondria provided by Maria Olga Gonzalez.
Supplemental Material (URL)
Abstract
  • MECP2 loss-of-function mutations cause Rett syndrome, a neurodevelopmental disorder resulting from a disrupted brain transcriptome. How these transcriptional defects are decoded into a disease proteome remains unknown. We studied the proteome of Rett cerebrospinal fluid (CSF) to identify consensus Rett proteome and ontologies shared across three species. Rett CSF proteomes enriched proteins annotated to HDL lipoproteins, complement, mitochondria, citrate/pyruvate metabolism, synapse compartments, and the neurosecretory protein VGF. We used shared Rett ontologies to select analytes for orthogonal quantification and functional validation. VGF and ontologically selected CSF proteins had genotypic discriminatory capacity as determined by receiver operating characteristic analysis in Mecp2-/y and Mecp2−/+. Differentially expressed CSF proteins distinguished Rett from a related neurodevelopmental disorder, CDKL5 deficiency disorder. We propose that Mecp2 mutant CSF proteomes and ontologies inform putative mechanisms and biomarkers of disease. We suggest that Rett syndrome results from synapse and metabolism dysfunction.
Author Notes
Keywords
Research Categories
  • Health Sciences, Pathology
  • Biology, Physiology

Tools

Relations

In Collection:

Items