scholarly journals Serum Extracellular Vesicle-Derived circHIPK3 and circSMARCA5 Are Two Novel Diagnostic Biomarkers for Glioblastoma Multiforme

2021 ◽  
Vol 14 (7) ◽  
pp. 618
Author(s):  
Michele Stella ◽  
Luca Falzone ◽  
Angela Caponnetto ◽  
Giuseppe Gattuso ◽  
Cristina Barbagallo ◽  
...  
Keyword(s):  
Glioblastoma Multiforme ◽  
Roc Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Digital Pcr ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Circular Rnas ◽  
Diagnostic Biomarkers ◽  
Exclusion Chromatography

Glioblastoma multiforme (GBM) is the most frequent and deadly human brain cancer. Early diagnosis through non-invasive biomarkers may render GBM more easily treatable, improving the prognosis of this currently incurable disease. We suggest the use of serum extracellular vesicle (sEV)-derived circular RNAs (circRNAs) as highly stable minimally invasive diagnostic biomarkers for GBM diagnosis. EVs were isolated by size exclusion chromatography from sera of 23 GBM and 5 grade 3 glioma (GIII) patients, and 10 unaffected controls (UC). The expression of two candidate circRNAs (circSMARCA5 and circHIPK3) was assayed by droplet digital PCR. CircSMARCA5 and circHIPK3 were significantly less abundant in sEVs from GBM patients with respect to UC (fold-change (FC) of −2.15 and −1.92, respectively) and GIII (FC of −1.75 and −1.4, respectively). Receiver operating characteristic curve (ROC) analysis, based on the expression of sEV-derived circSMARCA5 and circHIPK3, allowed us to distinguish GBM from UC (area under the curve (AUC) 0.823 (0.667–0.979) and 0.855 (0.704 to 1.000), with a 95% confidence interval (CI), respectively). Multivariable ROC analysis, performed by combining the expression of sEV-derived circSMARCA5 and circHIPK3 with preoperative neutrophil to lymphocyte (NLR), platelet to lymphocyte (PLR) and lymphocyte to monocyte (LMR) ratios, three known diagnostic and prognostic GBM markers, allowed an improvement in the GBM diagnostic accuracy (AUC 0.901 (0.7912 to 1.000), 95% CI). Our data suggest sEV-derived circSMARCA5 and circHIPK3 as good diagnostic biomarkers for GBM, especially when associated with preoperative NLR, PLR and LMR.

scholarly journals Extracellular vesicle-associated repetitive element DNAs as candidate osteosarcoma biomarkers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Linda Cambier ◽  
Kevin Stachelek ◽  
Martin Triska ◽  
Rima Jubran ◽  
Manyu Huang ◽  
...  
Keyword(s):  
Early Detection ◽  
Dna Sequences ◽  
Repetitive Element ◽  
Area Under The Curve ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
High Risk Factors ◽  
Detection Assay ◽  
Exclusion Chromatography ◽  
Roc Area

AbstractOsteosarcoma (OS) is the most common malignant bone tumor in children and young adults. Despite that high-risk factors have been identified, no test for early detection is available. This study aimed to identify circulating nucleic acid sequences associated with serum extracellular vesicle (EV) preparations at the time of OS diagnosis, as a step towards an OS early detection assay. Sequencing of small nucleic acids extracted from serum EV preparations revealed increased representation of diverse repetitive element sequences in OS patient versus control sera. Analysis of a validation cohort using qPCR of PEG-precipitated EV preparations revealed the over-representation of HSATI, HSATII, LINE1-P1, and Charlie 3 at the DNA but not RNA level, with receiver operating characteristic (ROC) area under the curve (AUC) ≥ 0.90. HSATI and HSATII DNAs co-purified with EVs prepared by precipitation and size exclusion chromatography but not by exosome immunocapture, indicative of packaging in a non-exosomal complex. The consistent over-representation of EV-associated repetitive element DNA sequences suggests their potential utility as biomarkers for OS and perhaps other cancers.

Proteomic Profile of Urinary Extracellular Vesicles Identifies AGP1 as a Potential Biomarker of Primary Aldosteronism

Endocrinology ◽  
2021 ◽  
Vol 162 (4) ◽  
Author(s):  
Eric R Barros ◽  
Juan Pablo Rigalli ◽  
Alejandra Tapia-Castillo ◽  
Andrea Vecchiola ◽  
Morag J Young ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Primary Aldosteronism ◽  
Proteomic Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Extracellular Vesicle ◽  
Parent Cell ◽  
Spot Urine ◽  
Potential Biomarker ◽  
Aldosterone To Renin Ratio

Abstract Context Primary aldosteronism (PA) represents 6% to 10% of all essential hypertension patients and is diagnosed using the aldosterone-to-renin ratio (ARR) and confirmatory studies. The complexity of PA diagnosis encourages the identification of novel PA biomarkers. Urinary extracellular vesicles (uEVs) are a potential source of biomarkers, considering that their cargo reflects the content of the parent cell. Objective We aimed to evaluate the proteome of uEVs from PA patients and identify potential biomarker candidates for PA. Methods Second morning spot urine was collected from healthy controls (n = 8) and PA patients (n = 7). The uEVs were isolated by ultracentrifugation and characterized. Proteomic analysis on uEVs was performed using LC-MS Orbitrap. Results Isolated uEVs carried extracellular vesicle markers, showed a round shape and sizes between 50 and 150 nm. The concentration of uEVs showed a direct correlation with urinary creatinine (r = 0.6357; P = 0.0128). The uEV size mean (167 ± 6 vs 183 ± 4nm) and mode (137 ± 7 vs 171 ± 11nm) was significantly smaller in PA patients than in control subjects, but similar in concentration. Proteomic analysis of uEVs from PA patients identified an upregulation of alpha-1-acid glycoprotein 1 (AGP1) in PA uEVs, which was confirmed using immunoblot. A receiver operating characteristic curve analysis showed an area under the curve of 0.92 (0.82 to 1; P = 0.0055). Conclusion Proteomic and further immunoblot analyses of uEVs highlights AGP1 as potential biomarker for PA.

scholarly journals Effect of heparin administration to sheep on the release profiles of circulating activin A and follistatin

2004 ◽  
Vol 181 (2) ◽  
pp. 307-314 ◽  
Author(s):  
KL Jones ◽  
DM De Kretser ◽  
DJ Phillips
Keyword(s):  
Area Under The Curve ◽  
Activin A ◽  
Size Exclusion ◽  
Dependent Manner ◽  
Large Pool ◽  
Heparin Administration ◽  
Repeat Administration ◽  
Clearance Mechanism ◽  
Exclusion Chromatography ◽  
Dose Dependent

Activin A and follistatin are normally present in relatively low amounts in the circulation. Heparin administration elicits a rapid and robust release of these proteins, although this phenomenon is poorly defined. In the present studies, the response to heparin administration was evaluated in the plasma of adult ewes in terms of whether it was dose-dependent, could be neutralized, was responsive to multiple stimulation, and the nature of the activin A and follistatin released. Activin A and follistatin were rapidly released by heparin in a dose-dependent manner (25, 100 or 250 IU/kg), with differences in the response as adjudged by peak concentration, timing of the peak and area under the curve. The heparin response could be blocked by pretreatment with protamine; conversely protamine injection alone (2 mg/kg) elicited release of follistatin but not activin A. Repeat administration of heparin at three-hourly intervals resulted in activin and follistatin responses to each injection, but each subsequent stimulation increased and extended the responses, consistent with saturation of the heparin clearance mechanism. Size exclusion chromatography of plasma samples confirmed that the majority of activin and follistatin released by heparin was a complex, whereas follistatin released by protamine was unbound. These data are consistent with a large pool of activin A and follistatin resident on extracellular matrices, with the rapid response implicating the vascular endothelium as the prime site of release following administration of these commonly used anticoagulant therapies.

scholarly journals Electromagnetic Piezoelectric Acoustic Sensor Detection of Extracellular Vesicles through Interaction with Detached Vesicle Proteins

Biosensors ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 173
Author(s):  
Loránd Románszki ◽  
Zoltán Varga ◽  
Judith Mihály ◽  
Zsófia Keresztes ◽  
Michael Thompson
Keyword(s):  
Storage Period ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Frequency Change ◽  
Acoustic Sensor ◽  
C Storage ◽  
Thaw Cycle ◽  
Signal Change ◽  
Freeze Thaw Cycle ◽  
Exclusion Chromatography

An electromagnetic piezoelectric acoustic sensor (EMPAS) was used to study the non-specific adsorption of human red blood cell-derived extracellular vesicle preparations. Vesicle storage history (temperature and duration) highly affected the obtained results: The signal change, namely the frequency decrease of the crystal measured at 20 °C, was negligibly small (<1 s−2) when the vesicle solutions had previously been stored at 4 °C, and was in the order of 10 s−2 when the vesicle solutions had been stored at −30 °C. Moreover, the rate of frequency decrease increased exponentially with the storage time at −30 °C. Upon a 4 °C storage period following the −30 °C storage period of the same sample, the measured frequency decrease dropped, suggesting a partial relaxation of the system. The results are explained by the disintegration of the vesicles triggered by the freeze–thaw cycle, likely due to the detachment of proteins from the vesicle surface as was proved by size-exclusion chromatography. Surface modification of the sensor crystal provided the possibility of signal enhancement, as the maximum rate of the frequency change for the same vesicle concentrations was higher on hydrophobic, octadecyl trichlorosilane–modified quartz than on hydrophilic, bare quartz. The EMPAS signal has been associated with the amount of detached proteins, which in turn is proportional to the originating vesicle concentration.

scholarly journals Enrichment of plasma extracellular vesicles for reliable quantification of their size and concentration for biomarker discovery

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marija Holcar ◽  
Jana Ferdin ◽  
Simona Sitar ◽  
Magda Tušek-Žnidarič ◽  
Vita Dolžan ◽  
...  
Keyword(s):  
Biomarker Discovery ◽  
Plasma Source ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Enzyme Linked Immunosorbent Assay ◽  
Enrichment Method ◽  
Transmission Electron ◽  
Relative Standard ◽  
Exclusion Chromatography ◽  
Reliable Quantification

AbstractHuman plasma is a complex fluid, increasingly used for extracellular vesicle (EV) biomarker studies. Our aim was to find a simple EV-enrichment method for reliable quantification of EVs in plasma to be used as biomarker of disease. Plasma of ten healthy subjects was processed using sedimentation rate- (sucrose cushion ultracentrifugation—sUC) and size- (size exclusion chromatography—SEC) based methods. According to nanoparticle tracking analysis (NTA), asymmetrical flow field-flow fractionation coupled to detectors (AF4-UV-MALS), miRNA quantification, transmission electron microscopy and enzyme-linked immunosorbent assay, enrichment of EVs from plasma with sUC method lead to high purity of EVs in the samples. High nanoparticle concentrations after SEC resulted from substantial contamination with lipoproteins and other aggregates of EV-like sizes that importantly affect downstream EV quantification. Additionally, sUC EV-enrichment method linked to quantification with NTA or AF4-UV-MALS is repeatable, as the relative standard deviation of EV size measured in independently processed samples from the same plasma source was 5.4% and 2.1% when analyzed by NTA or AF4-UV-MALS, respectively. In conclusion, the sUC EV-enrichment method is compatible with reliable measurement of concentration and size of EVs from plasma and should in the future be tested on larger cohorts in relation to different diseases. This is one of the first studies using AF4-UV-MALS to quantify EVs in blood plasma, which opens new possible clinical utility for the technique.

scholarly journals Single extracellular vesicle analysis performed by imaging flow cytometry in contrast to NTA rigorously assesses the accuracy of urinary extracellular vesicle preparation techniques

2021 ◽  
Author(s):  
Marvin Droste ◽  
Tobias Tertel ◽  
Stefanie Jeruschke ◽  
Robin Dittrich ◽  
Evangelia Kontopoulou ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Method Comparison ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Western Blots ◽  
Preparation Methods ◽  
Imaging Flow Cytometry ◽  
Particle Yield ◽  
Exclusion Chromatography ◽  
Ultra Filtration

Extracellular vesicles (EVs) from several body fluids, including urine, appear as promising biomarkers. Within the last decade, numerous groups have compared the efficacy of EV preparation protocols. Frequently, the efficacy of EV preparation methods is judged by the recovery of particles as estimated by conventional nanoparticle tracking analysis (NTA) or other particle quantification devices. Here, at the example of different urinary EV (uEV) preparation methods, we determined the particle yield in obtained samples with conventional NTA, analyzed their EV content by imaging flow cytometry (IFCM) and quantified the intensity of TSG101 and the contaminant protein uromodulin (UMOD) in Western blots. Our results demonstrate a correlation among CD9-positive objects detected by IFCM and TSG101 Western blot intensities, while particle numbers as determined by NTA correlated with the amount of UMOD. Consequently, our results question the reliability of conventional NTA analyses for identifying the optimal EV preparation method. Here, in our method comparison, a combination of size exclusion chromatography followed by ultra-filtration showed the highest CD9-positive object and TSG101 protein recovery, and in relation to the number of CD9-positive objects, the lowest amount of UMOD contamination.

Extracellular vesicle isolation methods: rising impact of size-exclusion chromatography

2019 ◽  
Vol 76 (12) ◽  
pp. 2369-2382 ◽  
Author(s):  
Marta Monguió-Tortajada ◽  
Carolina Gálvez-Montón ◽  
Antoni Bayes-Genis ◽  
Santiago Roura ◽  
Francesc E. Borràs
Keyword(s):  
Size Exclusion Chromatography ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Isolation Methods ◽  
Exclusion Chromatography

scholarly journals Size-Exclusion Chromatography as a Technique for the Investigation of Novel Extracellular Vesicles in Cancer

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3156
Author(s):  
Daniel S. K. Liu ◽  
Flora M. Upton ◽  
Eleanor Rees ◽  
Christopher Limb ◽  
Long R. Jiao ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Cells ◽  
Size Exclusion Chromatography ◽  
Extracellular Vesicles ◽  
Biomarker Discovery ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Isolation Method ◽  
Isolation And Purification ◽  
Exclusion Chromatography

Cancer cells release extracellular vesicles, which are a rich target for biomarker discovery and provide a promising mechanism for liquid biopsy. Size-exclusion chromatography (SEC) is an increasingly popular technique, which has been rediscovered for the purposes of extracellular vesicle (EV) isolation and purification from diverse biofluids. A systematic review was undertaken to identify all papers that described size exclusion as their primary EV isolation method in cancer research. In all, 37 papers were identified and discussed, which showcases the breadth of applications in which EVs can be utilised, from proteomics, to RNA, and through to functionality. A range of different methods are highlighted, with Sepharose-based techniques predominating. EVs isolated using SEC are able to identify cancer cells, highlight active pathways in tumourigenesis, clinically distinguish cohorts, and remain functionally active for further experiments.

scholarly journals Quantitative proteomic analysis of extracellular vesicle subgroups isolated by an optimized method combining polymer‐based precipitation and size exclusion chromatography

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Juan A. Martínez‐Greene ◽  
Karina Hernández‐Ortega ◽  
Ricardo Quiroz‐Baez ◽  
Osbaldo Resendis‐Antonio ◽  
Israel Pichardo‐Casas ◽  
...  
Keyword(s):  
Size Exclusion Chromatography ◽  
Proteomic Analysis ◽  
Extracellular Vesicle ◽  
Size Exclusion ◽  
Quantitative Proteomic Analysis ◽  
Exclusion Chromatography

scholarly journals Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung Adenocarcinoma

2021 ◽  
Vol 10 ◽  
Author(s):  
Lin Qi ◽  
Ke Xue ◽  
Yongjun Cai ◽  
Jinjuan Lu ◽  
Xiaohu Li ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Logistic Models ◽  
Glass Ribbon ◽  
Ground Glass ◽  
Ct Features ◽  
Spread Through Air Spaces

ObjectivesThis study aimed to explore the predictive CT features of spread through air spaces (STAS) in patients with small-sized lung adenocarcinoma.MethodsFrom January 2017 to May 2019, patients with confirmed pathology of small-sized lung adenocarcinoma (less than or equal to 2 cm) and who underwent surgery were retrospectively analyzed. The clinical, pathological, and surgical information and CT features were analyzed.ResultsA total of 47 patients with STAS (males, 61.7%; mean age, 56 ± 8years) and 143 patients without STAS (males, 58%; mean age, 53 ± 11 years) were included. Pathologically, papillary, micropapillary, solid predominant subtypes, and vascular and pleural invasion were most commonly observed features in the STAS group. Radiologically, higher consolidation tumor ratio (CTR), presence of spiculation, satellites, ground glass ribbon sign, pleural attachment, and unclear tumor–lung interface were more commonly observed features in the STAS group. CTR, presence of ground glass ribbons and pleural connection, and absence of cystic airspaces were considered as stable predictors of STAS in multivariate logistic models. The receiver operating characteristic curve (ROC) analysis for predicting STAS demonstrated higher area under the curve (AUC) in the model that used CTR (0.760, 95% confidence interval, 0.69–0.83) for predicting STAS than in the model that used long diameter of entire lesion (0.640).ConclusionsCTR is the best CT sign for predicting STAS in small-sized lung adenocarcinoma. The ground glass ribbon is a newly found indicator and has the potential for predicting STAS.

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