scholarly journals Does the Urinary Proteome Reflect ccRCC Stage and Grade Progression?

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2369
Author(s):  
Lucia Santorelli ◽  
Martina Stella ◽  
Clizia Chinello ◽  
Giulia Capitoli ◽  
Isabella Piga ◽  
...  
Keyword(s):  
Disease Diagnosis ◽  
Surgical Removal ◽  
Label Free ◽  
Protein Markers ◽  
Cell Renal Cell Carcinoma ◽  
Non Invasive ◽  
Urinary Proteome ◽  
Grading Systems ◽  
Stratified Group ◽  
Molecular Indicators

Due its ability to provide a global snapshot of kidney physiology, urine has emerged as a highly promising, non-invasive source in the search for new molecular indicators of disease diagnosis, prognosis, and surveillance. In particular, proteomics represents an ideal strategy for the identification of urinary protein markers; thus, a urinomic approach could also represent a powerful tool in the investigation of the most common kidney cancer, which is clear cell Renal Cell Carcinoma (ccRCC). Currently, these tumors are classified after surgical removal using the TNM and nuclear grading systems and prognosis is usually predicted based upon staging. However, the aggressiveness and clinical outcomes of ccRCC remain heterogeneous within each stratified group, highlighting the need for novel molecular indicators that can predict the progression of these tumors. In our study, we explored the association between the urinary proteome and the ccRCC staging and grading classification. The urine proteome of 44 ccRCC patients with lesions of varying severity was analyzed via label-free proteomics. MS data revealed several proteins with altered abundance according to clinicopathological stratification. Specifically, we determined a panel of dysregulated proteins strictly related to stage and grade, suggesting the potential utility of MS-based urinomics as a complementary tool in the staging process of ccRCC.

Nano Monitors for Identification of Vulnerable Cardio-vascular Plaque

2006 ◽  
Vol 926 ◽  
Author(s):  
Shalini Prasad ◽  
Thomas Barrett ◽  
John Carruthers
Keyword(s):  
Complex Disease ◽  
Plaque Rupture ◽  
Coronary Plaque ◽  
Label Free ◽  
Protein Markers ◽  
Protein Biomarkers ◽  
Alumina Membrane ◽  
Non Invasive ◽  
Highly Sensitive ◽  
Cardio Vascular

AbstractWe describe highly sensitive, non–invasive, label-free, electrical detection of protein biomarkers using nanoporous alumina membrane based electrochemical conductance based devices. The principle of operation of these sensors are based on electrochemical conductance varitions associated with the binding of antibody-antigen complexes to a metallic substrate.In these devices distinct pore clusters are selectively surface functionalized with specific antibodies, that are in turn are incorporated into micro scale arrays. Protein markers were routinely detected at nanomolar concentrations. This opens the potential for developing highly sensitive and selective biomarker detection assays in clinically relevant samples for diagnosis of complex disease state like vulnerable coronary plaque rupture that results in poor post surgical outcomes and other complex diseases.

scholarly journals Theoretical Framework of Radiation Force in Surface Acoustic Waves for Modulated Particle Sorting

2019 ◽  
Vol 63 (2) ◽  
pp. 77-84
Author(s):  
Gergely Simon ◽  
Marco A. B. Andrade ◽  
Marc P. Y. Desmulliez ◽  
Mathis O. Riehle ◽  
Anne L. Bernassau
Keyword(s):  
Acoustic Waves ◽  
Acoustic Radiation ◽  
Surface Acoustic Waves ◽  
Radiation Force ◽  
Disease Diagnosis ◽  
Target Cells ◽  
Periodic Signal ◽  
Label Free ◽  
Non Invasive ◽  
Sorting Technique

Sorting specific target entities from sample mixtures is commonly used in many macroscale laboratory processing, such as disease diagnosis or treatment. Downscaling of sorting systems enables less laboratory space and fewer quantities of sample and reagent. Such lab-on-a-chip devices can perform separation functions using passive or active sorting methods. Such a method, acoustic sorting, when used in microfluidics, offers contactless, label-free, non-invasive manipulation of target cells or particles and is therefore the topic of active current research. Our phase-modulated sorting technique complements traditional time-of-flight techniques and offers higher sensitivity separation using a periodic signal. By cycling of this periodic signal, the target entities are gradually displaced compared to the background debris, thereby achieving sorting. In this paper, we extend the knowledge on phase-modulated sorting techniques. Firstly, using numerical simulations, we confirm the sorting role of our proposed primary acoustic radiation force within surface wave devices. Secondly, a threefold agreement between analytical, numerical and experimental sorting trajectories is presented.

scholarly journals An Electrokinetically-Driven Microchip for Rapid Entrapment and Detection of Nanovesicles

Micromachines ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Leilei Shi ◽  
Leyla Esfandiari
Keyword(s):  
Electrical Impedance ◽  
Disease Diagnosis ◽  
Electrical Impedance Spectroscopy ◽  
Label Free ◽  
Early Disease ◽  
Non Invasive ◽  
Diagnosis And Prognosis ◽  
Rapid Characterization ◽  
Impedance Sensor

Electrical Impedance Spectroscopy (EIS) has been widely used as a label-free and rapid characterization method for the analysis of cells in clinical research. However, the related work on exosomes (40–150 nm) and the particles of similar size has not yet been reported. In this study, we developed a new Lab-on-a-Chip (LOC) device to rapidly entrap a cluster of sub-micron particles, including polystyrene beads, liposomes, and small extracellular vesicles (exosomes), utilizing an insulator-based dielectrophoresis (iDEP) scheme followed by measuring their impedance utilizing an integrated electrical impedance sensor. This technique provides a label-free, fast, and non-invasive tool for the detection of bionanoparticles based on their unique dielectric properties. In the future, this device could potentially be applied to the characterization of pathogenic exosomes and viruses of similar size, and thus, be evolved as a powerful tool for early disease diagnosis and prognosis.

scholarly journals OCT2Hist: Non-Invasive Virtual Biopsy Using Optical Coherence Tomography

2021 ◽  
Author(s):  
Yonatan Winetraub ◽  
Edwin Yuan ◽  
Itamar Terem ◽  
Caroline Yu ◽  
Warren Chan ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Ground Truth ◽  
Disease Diagnosis ◽  
Optical Coherence ◽  
Label Free ◽  
Generative Adversarial Network ◽  
Non Invasive ◽  
Adversarial Network ◽  
Trained Neural Network

Histological haematoxylin and eosin–stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumour margin detection, and disease diagnosis1. Producing H&E sections, however, is invasive and time-consuming. Non-invasive optical imaging modalities, such as optical coherence tomography (OCT), permit label-free, micron-scale 3D imaging of biological tissue microstructure with significant depth (up to 1mm) and large fields-of-view2, but are difficult to interpret and correlate with clinical ground truth without specialized training3. Here we introduce the concept of a virtual biopsy, using generative neural networks to synthesize virtual H&E sections from OCT images. To do so we have developed a novel technique, “optical barcoding”, which has allowed us to repeatedly extract the 2D OCT slice from a 3D OCT volume that corresponds to a given H&E tissue section, with very high alignment precision down to 25 microns. Using 1,005 prospectively collected human skin sections from Mohs surgery operations of 71 patients, we constructed the largest dataset of H&E images and their corresponding precisely aligned OCT images, and trained a conditional generative adversarial network4 on these image pairs. Our results demonstrate the ability to use OCT images to generate high-fidelity virtual H&E sections and entire 3D H&E volumes. Applying this trained neural network to in vivo OCT images should enable physicians to readily incorporate OCT imaging into their clinical practice, reducing the number of unnecessary biopsy procedures.

scholarly journals Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review

Micromachines ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 72 ◽  
Author(s):  
Da-Quan Yang ◽  
Bing Duan ◽  
Xiao Liu ◽  
Ai-Qiang Wang ◽  
Xiao-Gang Li ◽  
...  
Keyword(s):  
Photonic Crystal ◽  
Optical Waveguides ◽  
Optical Sensing ◽  
Early Stage ◽  
Disease Diagnosis ◽  
Label Free ◽  
Quality Factors ◽  
Integrated Sensor ◽  
Early Stage Disease ◽  
Wide Range

The ability to detect nanoscale objects is particular crucial for a wide range of applications, such as environmental protection, early-stage disease diagnosis and drug discovery. Photonic crystal nanobeam cavity (PCNC) sensors have attracted great attention due to high-quality factors and small-mode volumes (Q/V) and good on-chip integrability with optical waveguides/circuits. In this review, we focus on nanoscale optical sensing based on PCNC sensors, including ultrahigh figure of merit (FOM) sensing, single nanoparticle trapping, label-free molecule detection and an integrated sensor array for multiplexed sensing. We believe that the PCNC sensors featuring ultracompact footprint, high monolithic integration capability, fast response and ultrahigh sensitivity sensing ability, etc., will provide a promising platform for further developing lab-on-a-chip devices for biosensing and other functionalities.

scholarly journals Neo-Fs Index: A Novel Immunohistochemical Biomarker Panel Predicts Survival and Response to Anti-Angiogenetic Agents in Clear Cell Renal Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1199
Author(s):  
Jisup Kim ◽  
Jee-Young Park ◽  
Su-Jin Shin ◽  
Beom Jin Lim ◽  
Heounjeong Go
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Plasmacytoid Dendritic Cell ◽  
Cytolytic Activity ◽  
Immune Gene ◽  
Protein Markers ◽  
Cell Renal Cell Carcinoma ◽  
Frameshift Indels

Background: Frameshift indels have emerged as a predictor of immunotherapy response but were not evaluated yet to predict anti-angiogenetic agent (AAA) response or prognosis in clear cell renal cell carcinoma (ccRCC). Methods: Here, to develop biomarkers that predict survival and response to AAA, we evaluated the immunohistochemical expression of proteins whose genes frequently harbor frameshift indels in 638 ccRCC patients and correlated the individual and integrated markers with prognosis and AAA response. The mutational landscape was evaluated using targeted next-generation sequencing in 12 patients concerning protein markers. Immune gene signatures were retrieved from TCGA RNA seq data. Results: Five proteins (APC, NOTCH1, ARID1A, EYS, and filamin A) were independent adverse prognosticators and were incorporated into the Neo-fs index. Better overall, disease-specific and recurrence-free survival were observed with high Neo-fs index in univariate and multivariate survival analyses. Better AAA responses were observed with a high Neo-fs index, which reflected increased MHC class I, CD8+ T cell, cytolytic activity, and plasmacytoid dendritic cell signatures and decreased type II-IFN response signatures, as well as greater single-nucleotide variant (SNV) and indel counts. Conclusions: Neo-fs index, reflecting antitumor immune signature and more SNVs. and indels, is a powerful predictor of survival and AAA response in ccRCC.

Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network

2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Deep Neural Network ◽  
Optical Coherence ◽  
Label Free ◽  
Non Invasive ◽  
Rice Seeds

scholarly journals Non-Invasive Identification of Nutrient Components in Grain

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3124
Author(s):  
Charles Farber ◽  
A. S. M. Faridul Islam ◽  
Endang M. Septiningsih ◽  
Michael J. Thomson ◽  
Dmitry Kurouski
Keyword(s):  
Rice Variety ◽  
Nutrient Content ◽  
Plant Diseases ◽  
Variety Identification ◽  
Successful Implementation ◽  
Label Free ◽  
Accurate Identification ◽  
Analytical Technique ◽  
Non Invasive ◽  
Digital Farming

Digital farming is a modern agricultural concept that aims to maximize the crop yield while simultaneously minimizing the environmental impact of farming. Successful implementation of digital farming requires development of sensors to detect and identify diseases and abiotic stresses in plants, as well as to probe the nutrient content of seeds and identify plant varieties. Experimental evidence of the suitability of Raman spectroscopy (RS) for confirmatory diagnostics of plant diseases was previously provided by our team and other research groups. In this study, we investigate the potential use of RS as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of nutrient components in the grains from 15 different rice genotypes. We demonstrate that spectroscopic analysis of intact rice seeds provides the accurate rice variety identification in ~86% of samples. These results suggest that RS can be used for fully automated, fast and accurate identification of seeds nutrient components.

scholarly journals Socio-economic demands and challenges for non-invasive disease diagnosis through a portable breathalyzer by the incorporation of 2D nanosheets and SMO nanocomposites

RSC Advances ◽  
2021 ◽  
Vol 11 (35) ◽  
pp. 21216-21234
Author(s):  
Ramji Kalidoss ◽  
Radhakrishnan Kothalam ◽  
A. Manikandan ◽  
Saravana Kumar Jaganathan ◽  
Anish Khan ◽  
...  
Keyword(s):  
Breath Analysis ◽  
Disease Diagnosis ◽  
Invasive Disease ◽  
Research Community ◽  
Clinical Diagnostics ◽  
Non Invasive ◽  
Technological Developments ◽  
2D Nanosheets

Breath analysis for non-invasive clinical diagnostics and treatment progression has penetrated the research community owing to the technological developments in novel sensing nanomaterials.

scholarly journals Tethered Lipid Membranes as a Nanoscale Arrangement Towards Non-Invasive Analysis of Acute Pancreatitis

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 755
Author(s):  
Rima Budvytyte ◽  
Akvile Milasiute ◽  
Dalius Vitkus ◽  
Kestutis Strupas ◽  
Aiste Gulla ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Lipid Membranes ◽  
Electrochemical Impedance ◽  
Membrane Integrity ◽  
Electrochemical Technique ◽  
Label Free ◽  
Non Invasive ◽  
Novel Approach ◽  
Analytical System ◽  
Shock Proteins

Extracellular heat shock proteins (HSPs) mediate immunological functions and are involved in pathologies such as infection, stress, and cancer. Here, we demonstrated the dependence of an amount of HSP70 and HSP90 in serum vs. severity of acute pancreatitis (AP) on a cohort of 49 patients. Tethered bilayer lipid membranes (tBLMs) have been developed to investigate HSPs’ interactions with tBLMs that can be probed by electrochemical impedance spectroscopy (EIS). The results revealed that HSP70 and HSP90 interact via different mechanisms. HSP70 shows the damage of the membrane, while HSP90 increases the insulation properties of tBLM. These findings provide evidence that EIS offers a novel approach for the study of the changes in membrane integrity induced by HSPs proteins. Herein, we present an alternative electrochemical technique, without any immunoprobes, that allows for the monitoring of HSPs on nanoscaled tBLM arrangement in biologics samples such us human urine. This study demonstrates the great potential of tBLM to be used as a membrane based biosensor for novel, simple, and non-invasive label-free analytical system for the prediction of AP severity.

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