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You searched for: EV220405 (EV-TRACK ID)

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Experiment number
  • If needed, multiple experiments were identified in a single publication based on differing sample types, separation protocols and/or vesicle types of interest.
Species
  • Species of origin of the EVs.
Separation protocol
  • Gives a short, non-chronological overview of the different steps of the separation protocol.
    • (d)(U)C = (differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Details EV-TRACK ID Experiment nr. Species Sample type Separation protocol First author Year EV-METRIC
EV220405 1/3 Homo sapiens Cerebrospinal Fluid UF
qEV
Ursula S Sandau 2022 75%

Study summary

Full title
All authors
Ursula S Sandau, Trevor J McFarland, Sierra J Smith, Douglas R Galasko, Joseph F Quinn, Julie A Saugstad
Journal
Abstract
Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) ri (show more...)Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) risk. Of the 6.2 million Americans living with Alzheimer's dementia in 2021, 3.8 million are women and 2.4 million are men. The strongest genetic risk factor for sporadic AD is apolipoprotein E-e4 (APOE-e4). Female APOE-e4 carriers develop AD more frequently than age-matched males and have more brain atrophy and memory loss. Consequently, biomarkers that are sensitive to biological risk factors may improve AD diagnostics and may provide insight into underlying mechanistic changes that could drive disease progression. Here, we have assessed the effects of sex and APOE-e4 on the miRNA cargo of cerebrospinal fluid (CSF) extracellular vesicles (EVs) in AD. We used ultrafiltration (UF) combined with size exclusion chromatography (SEC) to enrich CSF EVs (e.g., Flotillin+). CSF EVs were isolated from female and male AD or controls (CTLs) that were either APOE-e3,4 or -e3,3 positive (n = 7/group, 56 total). MiRNA expression levels were quantified using a custom TaqMan™ array that assayed 190 miRNAs previously found in CSF, including 25 miRNAs that we previously validated as candidate AD biomarkers. We identified changes in the EV miRNA cargo that were affected by both AD and sex. In total, four miRNAs (miR-16-5p, -331-3p, -409-3p, and -454-3p) were significantly increased in AD vs. CTL, independent of sex and APOE-e4 status. Pathway analysis of the predicted gene targets of these four miRNAs with identified pathways was highly relevant to neurodegeneration (e.g., senescence and autophagy). There were also three miRNAs (miR-146b-5p, -150-5p, and -342-3p) that were significantly increased in females vs. males, independent of disease state and APOE-e4 status. We then performed a statistical analysis to assess the effect of APOE genotype in AD within each sex and found that APOE-e4 status affects different subsets of CSF EV miRNAs in females vs. males. Together, this study demonstrates the complexity of the biological factors associated with AD risk and the impact on EV miRNAs, which may contribute to AD pathophysiology. (hide)
EV-METRIC
75% (98th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Cerebrospinal Fluid
Sample origin
Control condition
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ CD81/ Flotillin­1/ TSG101/ Annexin V/ Glast/ CD11b/ NCAM-1/ Synaptophysin/ TMEM119
non-EV: Albumin/ APOA1/ APOE
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)/Technical analysis comparing/optimizing EV-­related methods
Sample
Species
Homo sapiens
Sample Type
Cerebrospinal Fluid
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
qEV (35 nm)
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Fluorometric assay
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ Flotillin­1/ TSG101/ Annexin V/ Glast/ CD11b
Not detected EV-associated proteins
NCAM-1/ Synaptophysin/ TMEM119
Detected contaminants
APOE
Not detected contaminants
Albumin/ APOA1
Characterization: RNA analysis
RNA analysis
Type
(RT)­(q)PCR
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
TRPS
Report type
Size range/distribution
Reported size (nm)
76-620
EV concentration
Yes
Particle yield
particles per milliliter of starting sample: 1.50E+10
EM
EM-type
Transmission­-EM
Image type
Close-up, Wide-field
Report size (nm)
30-100
EV220405 3/3 Homo sapiens Cerebrospinal Fluid UF
qEV
Ursula S Sandau 2022 38%

Study summary

Full title
All authors
Ursula S Sandau, Trevor J McFarland, Sierra J Smith, Douglas R Galasko, Joseph F Quinn, Julie A Saugstad
Journal
Abstract
Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) ri (show more...)Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) risk. Of the 6.2 million Americans living with Alzheimer's dementia in 2021, 3.8 million are women and 2.4 million are men. The strongest genetic risk factor for sporadic AD is apolipoprotein E-e4 (APOE-e4). Female APOE-e4 carriers develop AD more frequently than age-matched males and have more brain atrophy and memory loss. Consequently, biomarkers that are sensitive to biological risk factors may improve AD diagnostics and may provide insight into underlying mechanistic changes that could drive disease progression. Here, we have assessed the effects of sex and APOE-e4 on the miRNA cargo of cerebrospinal fluid (CSF) extracellular vesicles (EVs) in AD. We used ultrafiltration (UF) combined with size exclusion chromatography (SEC) to enrich CSF EVs (e.g., Flotillin+). CSF EVs were isolated from female and male AD or controls (CTLs) that were either APOE-e3,4 or -e3,3 positive (n = 7/group, 56 total). MiRNA expression levels were quantified using a custom TaqMan™ array that assayed 190 miRNAs previously found in CSF, including 25 miRNAs that we previously validated as candidate AD biomarkers. We identified changes in the EV miRNA cargo that were affected by both AD and sex. In total, four miRNAs (miR-16-5p, -331-3p, -409-3p, and -454-3p) were significantly increased in AD vs. CTL, independent of sex and APOE-e4 status. Pathway analysis of the predicted gene targets of these four miRNAs with identified pathways was highly relevant to neurodegeneration (e.g., senescence and autophagy). There were also three miRNAs (miR-146b-5p, -150-5p, and -342-3p) that were significantly increased in females vs. males, independent of disease state and APOE-e4 status. We then performed a statistical analysis to assess the effect of APOE genotype in AD within each sex and found that APOE-e4 status affects different subsets of CSF EV miRNAs in females vs. males. Together, this study demonstrates the complexity of the biological factors associated with AD risk and the impact on EV miRNAs, which may contribute to AD pathophysiology. (hide)
EV-METRIC
38% (87th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Cerebrospinal Fluid
Sample origin
Control condition
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Ultrafiltration
qEV
Protein markers
EV: Flotillin-1/ CD81
non-EV: Albumin/ APOA1
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)/Technical analysis comparing/optimizing EV-­related methods
Sample
Species
Homo sapiens
Sample Type
Cerebrospinal Fluid
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
qEV (70 nm)
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Fluorometric assay
Western Blot
Detected EV-associated proteins
Flotillin
Not detected EV-associated proteins
CD81
Not detected contaminants
Albumin/ APOA1
Characterization: Lipid analysis
No
Characterization: Particle analysis
TRPS
Report type
Size range/distribution
Reported size (nm)
86-360
EV concentration
Yes
Particle yield
particles per milliliter of starting sample: 1.54E+09
EV220405 2/3 Homo sapiens Cerebrospinal Fluid UF
qEV
Ursula S Sandau 2022 0%

Study summary

Full title
All authors
Ursula S Sandau, Trevor J McFarland, Sierra J Smith, Douglas R Galasko, Joseph F Quinn, Julie A Saugstad
Journal
Abstract
Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) ri (show more...)Multiple biological factors, including age, sex, and genetics, influence Alzheimer's disease (AD) risk. Of the 6.2 million Americans living with Alzheimer's dementia in 2021, 3.8 million are women and 2.4 million are men. The strongest genetic risk factor for sporadic AD is apolipoprotein E-e4 (APOE-e4). Female APOE-e4 carriers develop AD more frequently than age-matched males and have more brain atrophy and memory loss. Consequently, biomarkers that are sensitive to biological risk factors may improve AD diagnostics and may provide insight into underlying mechanistic changes that could drive disease progression. Here, we have assessed the effects of sex and APOE-e4 on the miRNA cargo of cerebrospinal fluid (CSF) extracellular vesicles (EVs) in AD. We used ultrafiltration (UF) combined with size exclusion chromatography (SEC) to enrich CSF EVs (e.g., Flotillin+). CSF EVs were isolated from female and male AD or controls (CTLs) that were either APOE-e3,4 or -e3,3 positive (n = 7/group, 56 total). MiRNA expression levels were quantified using a custom TaqMan™ array that assayed 190 miRNAs previously found in CSF, including 25 miRNAs that we previously validated as candidate AD biomarkers. We identified changes in the EV miRNA cargo that were affected by both AD and sex. In total, four miRNAs (miR-16-5p, -331-3p, -409-3p, and -454-3p) were significantly increased in AD vs. CTL, independent of sex and APOE-e4 status. Pathway analysis of the predicted gene targets of these four miRNAs with identified pathways was highly relevant to neurodegeneration (e.g., senescence and autophagy). There were also three miRNAs (miR-146b-5p, -150-5p, and -342-3p) that were significantly increased in females vs. males, independent of disease state and APOE-e4 status. We then performed a statistical analysis to assess the effect of APOE genotype in AD within each sex and found that APOE-e4 status affects different subsets of CSF EV miRNAs in females vs. males. Together, this study demonstrates the complexity of the biological factors associated with AD risk and the impact on EV miRNAs, which may contribute to AD pathophysiology. (hide)
EV-METRIC
0% (median: 0% of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Cerebrospinal Fluid
Sample origin
Alzheimer's disease
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Ultrafiltration
qEV
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)/Technical analysis comparing/optimizing EV-­related methods
Sample
Species
Homo sapiens
Sample Type
Cerebrospinal Fluid
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
qEV (35 nm)
Other
Name other separation method
qEV
Characterization: Protein analysis
None
Protein Concentration Method
Fluorometric assay
Characterization: RNA analysis
RNA analysis
Type
(RT)­(q)PCR
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
1 - 3 of 3
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV220405
species
Homo sapiens
sample type
Cerebrospinal Fluid
condition
Control condition
Control condition
Alzheimer's disease
separation protocol
Ultrafiltration/ qEV
Ultrafiltration/ qEV
Ultrafiltration/ qEV
Exp. nr.
1
3
2
EV-METRIC %
75
38
0