Plasma Proteomic Signature of Mucolipidosis Type IV
Tobin, B.; Misko, A.; Miller-Browne, V.; Sangster, M.; Grishchuk, Y.; Wood, L. B.
Show abstract
Mucolipidosis IV (MLIV) is an autosomal-recessive pediatric disease that leads to motor and cognitive deficits and loss of vision. It is caused by the loss of function of the lysosomal channel transient receptor potential mucolipin-1, TRPML1, and is associated with an early brain phenotype consisting of glial reactivity, hypomyelination, lysosomal abnormalities, and increased cytokine expression. Although the field is approaching the first translationally relevant therapy, we currently lack a molecular signature of disease that can be used to detect therapeutic efficacy. In the current study, we analyzed 7,322 proteins in the plasma proteome and compare protein profiles with clinical measures of disease severity (motor function, muscle tone, and age). To do so, we used aptamer-based protein profiling on plasma isolated from 18 MLIV patients and 37 aged-matched controls from a biorepository. We identified a total of 1,961 differentially expressed proteins between MLIV and control subjects, with functions spanning many major hallmarks of MLIV. Our analysis revealed a decrease in the abundance of neuronal proteins and an increase in muscle proteins, consistent with the neuronal dysfunction and muscle pathology observed in patients. In particular, lower levels of synaptic proteins (e.g., GABARAP) best correlated with disease severity. Next, we compared the plasma proteome of patients to the brain proteome from the mouse model of MLIV and identified shared alterations in 45 proteins. The up-regulated overlapping proteins were largely related to lysosomal function (e.g., ACTN2, GLB1), while the down-regulated proteins were largely related to myelination (e.g. TPPP3, CNTN2). Both signatures are consistent with our understanding of key disease hallmarks: impaired myelination and modified lysosomal function. Collectively, these data indicate that peripheral blood plasma protein signatures mirror changes found in the MLIV brain and suggest candidate markers relevant to MLIV pathology to be validated in future studies.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Reduction of Nemo-like kinase increases lysosome biogenesis and ameliorates TDP-43-related neurodegeneration 93%
- Deciphering the molecular landscape of human peripheral nerves: implications for diabetic peripheral neuropathy 92%
- The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity 92%
Similar papers in this journal
- A Transcriptional Signature of Induced Neurons Differentiates Virologically Suppressed People Living With HIV from People Without HIV 94%
- Coordinated immune dysregulation in Juvenile Dermatomyositis revealed by single-cell genomics 94%
- Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients 93%
Similar papers in this journal
- Serum proteome analysis of systemic JIA and related pulmonary alveolar proteinosis identifies distinct inflammatory programs 93%
- Definition of naturally processed peptides reveals convergent presentation of autoantigenic topoisomerase-I epitopes in scleroderma 92%
- Tmem178 negatively regulates IL-1β production through inhibition of the NLRP3 inflammasome 92%
Similar papers in this journal
- Mouse models of NADK2 deficiency analyzed for metabolic and gene expression changes to elucidate pathophysiology 94%
- MCOLN1 gene-replacement therapy corrects neurologic dysfunction in the mouse model of mucolipidosis IV. 93%
- The GBA variant E326K is associated with alpha-synuclein aggregation and lipid droplet accumulation in human cell lines. 92%
Similar papers in this journal
- Network Analysis of the Cerebrospinal Fluid Proteome Reveals Shared and Unique Differences Between Sporadic and Familial Forms of Amyotrophic Lateral Sclerosis 95%
- LRRK2 Kinase Activity Regulates Parkinson's Disease-Relevant Lipids at the Lysosome 94%
- Single molecule array measures of LRRK2 kinase activity in serum link Parkinson's disease severity to peripheral inflammation 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.