Abstract
Background: Circulating small RNAs (smRNAs) originate from diverse tissues and organs. Previous studies investigating smRNAs as potential biomarkers for Parkinson’s disease (PD) have yielded inconsistent results. We investigated whether smRNA profiles from neuronally-enriched serum exosomes and microvesicles are altered in PD patients and discriminate PD subjects from controls. Methods: Demographic, clinical, and serum samples were obtained from 60 PD subjects and 40 age- and sex-matched controls. Exosomes and microvesicles were extracted and isolated using a validated neuronal membrane marker (CD171). Sequencing and bioinformatics analyses were used to identify differentially expressed smRNAs in PD and control samples. SmRNAs also were tested for association with clinical metrics. Logistic regression and random forest classification models evaluated the discriminative value of the smRNAs. Results: In serum CD171 enriched exosomes and microvesicles, a panel of 29 smRNAs was expressed differentially between PD and controls (false discovery rate (FDR) < 0.05). Among the smRNAs, 23 were upregulated and 6 were downregulated in PD patients. Pathway analysis revealed links to cellular proliferation regulation and signaling. Least absolute shrinkage and selection operator adjusted for the multicollinearity of these smRNAs and association tests to clinical parameters via linear regression did not yield significant results. Univariate logistic regression models showed that four smRNAs achieved an AUC ≥ 0.74 to discriminate PD subjects from controls. The random forest model had an AUC of 0.942 for the 29 smRNA panel. Conclusion: CD171-enriched exosomes and microvesicles contain the differential expression of smRNAs between PD and controls. Future studies are warranted to follow up on the findings and understand the scientific and clinical relevance.
Original language | English (US) |
---|---|
Article number | 1145923 |
Journal | Frontiers in Neuroscience |
Volume | 17 |
DOIs | |
State | Published - 2023 |
All Science Journal Classification (ASJC) codes
- Neuroscience(all)
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In: Frontiers in Neuroscience, Vol. 17, 1145923, 2023.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients
AU - Aguilar, Morris A.
AU - Ebanks, Shauna
AU - Markus, Havell
AU - Lewis, Mechelle M.
AU - Midya, Vishal
AU - Vrana, Kent
AU - Huang, Xuemei
AU - Hall, Molly A.
AU - Imamura, Yuka
N1 - Funding Information: The authors would like to express our gratitude to all participants who volunteered for this study. They acknowledge Amanda Snyder for the assistance in processing the serum samples and the study coordinators, Lauren Deegan, Bethany Snyder, Bill Harrison, and Tyler Corson, who helped to access data for the study in REDCap (Research Electronic Data Capture). Special thanks to Jeffery Sundstrom for providing wet lab space and equipment and Mi Zhou and Yuanjun Zhao for technical support. They also thank Han Chen at the Penn State College of Medicine Transmission Electron Microscopy facility and Genome Sciences and Bioinformatics Facilities for processing the exosome imaging data and Next-Generation Sequencing analysis. All analyses, interpretations, and conclusions are of the authors, not the research sponsors. The Genome Sciences Core (RRID:SCR_021123) services and instruments used in this project were funded, in part, by the Pennsylvania State University College of Medicine via the Office of the Vice Dean of Research and Graduate Students and the Pennsylvania Department of Health using Tobacco Settlement Funds (CURE). The content is solely the responsibility of the authors and does not necessarily represent the official views of the University or College of Medicine. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations, or conclusions. Funding Information: The authors would like to express our gratitude to all participants who volunteered for this study. They acknowledge Amanda Snyder for the assistance in processing the serum samples and the study coordinators, Lauren Deegan, Bethany Snyder, Bill Harrison, and Tyler Corson, who helped to access data for the study in REDCap (Research Electronic Data Capture). Special thanks to Jeffery Sundstrom for providing wet lab space and equipment and Mi Zhou and Yuanjun Zhao for technical support. They also thank Han Chen at the Penn State College of Medicine Transmission Electron Microscopy facility and Genome Sciences and Bioinformatics Facilities for processing the exosome imaging data and Next-Generation Sequencing analysis. All analyses, interpretations, and conclusions are of the authors, not the research sponsors. The Genome Sciences Core (RRID:SCR_021123) services and instruments used in this project were funded, in part, by the Pennsylvania State University College of Medicine via the Office of the Vice Dean of Research and Graduate Students and the Pennsylvania Department of Health using Tobacco Settlement Funds (CURE). The content is solely the responsibility of the authors and does not necessarily represent the official views of the University or College of Medicine. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations, or conclusions. Funding Information: This work was supported by Penn State College of Medicine Junior Faculty develop program and Translational Brain Research Center pilot funding. This work also was supported by the USDA National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04275 and Accession #1018544, Seed funding from Penn State Institutes of Energy and the Environment ( https://iee.psu.edu/ ), startup funds from the College of Agricultural Sciences, Pennsylvania State University ( https://agsci.psu.edu/ ), and the Frances Keesler Graham Early Career Professorship from the Social Science Research Institute, Pennsylvania State University ( https://ssri.psu.edu/ ) and also supported in part by the National Institute of Neurological Disorders and Stroke and Parkinson’s Disease Biomarker Program (NS060722 and NS082151 to XH) and the Penn State National Center for Advancing Translational Sciences, National Institute of Health, through the grant UL1 TR002014. MA was supported on the PSU/NIDDK-funded Integrative Analysis of Metabolic Phenotypes (IAMP) Predoctoral Training Program (T32DK120509). Publisher Copyright: Copyright © 2023 Aguilar, Ebanks, Markus, Lewis, Midya, Vrana, Huang, Hall and Kawasawa.
PY - 2023
Y1 - 2023
N2 - Background: Circulating small RNAs (smRNAs) originate from diverse tissues and organs. Previous studies investigating smRNAs as potential biomarkers for Parkinson’s disease (PD) have yielded inconsistent results. We investigated whether smRNA profiles from neuronally-enriched serum exosomes and microvesicles are altered in PD patients and discriminate PD subjects from controls. Methods: Demographic, clinical, and serum samples were obtained from 60 PD subjects and 40 age- and sex-matched controls. Exosomes and microvesicles were extracted and isolated using a validated neuronal membrane marker (CD171). Sequencing and bioinformatics analyses were used to identify differentially expressed smRNAs in PD and control samples. SmRNAs also were tested for association with clinical metrics. Logistic regression and random forest classification models evaluated the discriminative value of the smRNAs. Results: In serum CD171 enriched exosomes and microvesicles, a panel of 29 smRNAs was expressed differentially between PD and controls (false discovery rate (FDR) < 0.05). Among the smRNAs, 23 were upregulated and 6 were downregulated in PD patients. Pathway analysis revealed links to cellular proliferation regulation and signaling. Least absolute shrinkage and selection operator adjusted for the multicollinearity of these smRNAs and association tests to clinical parameters via linear regression did not yield significant results. Univariate logistic regression models showed that four smRNAs achieved an AUC ≥ 0.74 to discriminate PD subjects from controls. The random forest model had an AUC of 0.942 for the 29 smRNA panel. Conclusion: CD171-enriched exosomes and microvesicles contain the differential expression of smRNAs between PD and controls. Future studies are warranted to follow up on the findings and understand the scientific and clinical relevance.
AB - Background: Circulating small RNAs (smRNAs) originate from diverse tissues and organs. Previous studies investigating smRNAs as potential biomarkers for Parkinson’s disease (PD) have yielded inconsistent results. We investigated whether smRNA profiles from neuronally-enriched serum exosomes and microvesicles are altered in PD patients and discriminate PD subjects from controls. Methods: Demographic, clinical, and serum samples were obtained from 60 PD subjects and 40 age- and sex-matched controls. Exosomes and microvesicles were extracted and isolated using a validated neuronal membrane marker (CD171). Sequencing and bioinformatics analyses were used to identify differentially expressed smRNAs in PD and control samples. SmRNAs also were tested for association with clinical metrics. Logistic regression and random forest classification models evaluated the discriminative value of the smRNAs. Results: In serum CD171 enriched exosomes and microvesicles, a panel of 29 smRNAs was expressed differentially between PD and controls (false discovery rate (FDR) < 0.05). Among the smRNAs, 23 were upregulated and 6 were downregulated in PD patients. Pathway analysis revealed links to cellular proliferation regulation and signaling. Least absolute shrinkage and selection operator adjusted for the multicollinearity of these smRNAs and association tests to clinical parameters via linear regression did not yield significant results. Univariate logistic regression models showed that four smRNAs achieved an AUC ≥ 0.74 to discriminate PD subjects from controls. The random forest model had an AUC of 0.942 for the 29 smRNA panel. Conclusion: CD171-enriched exosomes and microvesicles contain the differential expression of smRNAs between PD and controls. Future studies are warranted to follow up on the findings and understand the scientific and clinical relevance.
UR - http://www.scopus.com/inward/record.url?scp=85165127643&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85165127643&partnerID=8YFLogxK
U2 - 10.3389/fnins.2023.1145923
DO - 10.3389/fnins.2023.1145923
M3 - Article
C2 - 37483339
AN - SCOPUS:85165127643
SN - 1662-4548
VL - 17
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
M1 - 1145923
ER -