Stochastic microsensors as screening tools for neuron specific enolase

RSC Advances ◽  
2014 ◽  
Vol 4 (50) ◽  
pp. 26383-26388 ◽  
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Ionela Raluca Comnea ◽  
Jacobus Frederick van Staden ◽  
Camelia Stanciu Gavan
Keyword(s):  
Lung Cancer ◽  
Nanostructured Materials ◽  
Whole Blood ◽  
Neuron Specific Enolase ◽  
Cancer Biomarker ◽  
Screening Tools ◽  
Blood Samples ◽  
Carbon Onions ◽  
Whole Blood Samples ◽  
Lung Cancer Biomarker

Stochastic microsensors based on nanostructured materials from the classes of porphyrins and cyclodextrins, and carbon onions were used for new screening tools of whole blood samples for neuron specific enolase, a lung cancer biomarker.

scholarly journals Analysis of NTRK mutation and clinicopathologic factors in lung cancer patients in northeast China

2020 ◽  
Vol 35 (3) ◽  
pp. 36-40
Author(s):  
Hui Li ◽  
Shi Yan ◽  
Ying Liu ◽  
Lixia Ma ◽  
Xianhong Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Whole Blood ◽  
Copy Number ◽  
Northeast China ◽  
Fusion Gene ◽  
Gene Mutations ◽  
Driver Gene ◽  
Blood Samples ◽  
Clinicopathologic Factors ◽  
Whole Blood Samples

Objective: NTRK mutations and clinicopathological factors in patients with lung cancer in northeast China were analyzed by next-generation sequencing (NGS), and references were provided for patients with NTRK mutations undergoing targeted therapy in northeast China. Methods: A total of 224 specimens in 173 patients with lung cancer were collected. This included 51 patients with matched tissue and whole blood samples,133 tissue samples, 84 whole blood samples, and 7 pleural effusion samples. NGS (520 genes) was used to detected NTRK mutations and clinicopathologic factors. Results: NTRK mutation was detected in eight patients (8/173, 4.6%), including four NTRK missense mutations (4/173, 2.3%), two NTRK fusion gene mutations (2/173, 1.2%), and two NTRK copy number deletions (2/173, 1.2%). Among the eight patients with NTRK mutations, four were associated with lung cancer driver gene mutations (3/4 EGFR, 1/4ALK); NTRK in two patients was inconsistent in tissue and paired whole blood testing; NTRK missense mutation was detected in one patient, and NTRK copy number deletion was detected in the other; and NTRK wild type was detected in two patients. There was no correlation between NTRK mutation and clinicopathologic factors (including gender, age, pathological type, smoking status, metastasis site). Conclusion: NTRK mutation was only 4.6%, effective fusion gene mutation was 1.2%, and common driver gene mutation in lung cancer was evident in 50% of patients. The results of NTRK were inconsistent with matched tissues and whole blood. Therefore, patients with NTRK mutation should use a variety of specimen types and large target area sequencing (panel) analysis method to provide individualized treatment.

scholarly journals The effect of smoking on chronic inflammation, immune function and blood cell composition

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ingrid Elisia ◽  
Vivian Lam ◽  
Brandon Cho ◽  
Mariah Hay ◽  
Michael Yu Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Blood Cell ◽  
Whole Blood ◽  
Blood Samples ◽  
E Coli ◽  
Cell Composition ◽  
Adaptive Immune ◽  
Preventative Measures ◽  
Whole Blood Samples ◽  
Heavy Smokers

Abstract Smoking is the number one risk factor for cancer mortality but only 15–20% of heavy smokers develop lung cancer. It would, therefore, be of great benefit to identify those at high risk early on so that preventative measures can be initiated. To investigate this, we evaluated the effects of smoking on inflammatory markers, innate and adaptive immune responses to bacterial and viral challenges and blood cell composition. We found that plasma samples from 30 heavy smokers (16 men and 14 women) had significantly higher CRP, fibrinogen, IL-6 and CEA levels than 36 non-smoking controls. Whole blood samples from smokers, incubated for 7 h at 37 °C in the absence of any exogenous stimuli, secreted significantly higher levels of IL-8 and a number of other cytokines/chemokines than non-smokers. When challenged for 7 h with E. coli, whole blood samples from smokers secreted significantly lower levels of many inflammatory cytokines/chemokines. However, when stimulated with HSV-1, significantly higher levels of both PGE2 and many cytokines/chemokines were secreted from smokers’ blood samples than from controls. In terms of blood cell composition, red blood cells, hematocrits, hemoglobin levels, MCV, MCH, MCHC, Pct and RDW levels were all elevated in smokers, in keeping with their compromised lung capacity. As well, total leukocytes were significantly higher, driven by increases in granulocytes and monocytes. In addition, smokers had lower NK cells and higher Tregs than controls, suggesting that smoking may reduce the ability to kill nascent tumor cells. Importantly, there was substantial person-to person variation amongst smokers with some showing markedly different values from controls and others showing normal levels of many parameters measured, indicating the former may be at significantly higher risk of developing lung cancer.

Pattern recognition of neuron specific enolase and carcinoembryonic antigen in whole blood samples

2015 ◽  
Vol 28 (2) ◽  
pp. 103-107 ◽  
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Ionela Raluca Comnea-Stancu ◽  
Carmen Cristina Surdu-Bob ◽  
Camelia Stanciu-Gavan
Keyword(s):  
Pattern Recognition ◽  
Carcinoembryonic Antigen ◽  
Whole Blood ◽  
Neuron Specific Enolase ◽  
Blood Samples ◽  
Whole Blood Samples

Steadiness/stability of antiepileptic drugs in serum, plasma and whole-blood samples under various storage methods

2010 ◽  
Vol 41 (02) ◽  
Author(s):  
N Shazi ◽  
A Böss ◽  
HJ Merkel ◽  
F Scharbert ◽  
D Hannak ◽  
...  
Keyword(s):  
Antiepileptic Drugs ◽  
Whole Blood ◽  
Blood Samples ◽  
Storage Methods ◽  
Whole Blood Samples

scholarly journals Determination of 19 Psychoactive Substances in Premortem and Postmortem Whole Blood Samples Using Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry

Separations ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 78
Author(s):  
Sevasti Karampela ◽  
Jessica Smith ◽  
Irene Panderi
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Formic Acid ◽  
Whole Blood ◽  
High Performance ◽  
Tandem Mass ◽  
Psychoactive Substances ◽  
Blood Samples ◽  
Whole Blood Samples

An ever-increasing need exists within the forensic laboratories to develop analytical processes for the qualitative and quantitative determination of a broad spectrum of new psychoactive substances. Phenylethylamine derivatives are among the major classes of psychoactive substances available on the global market and include both amphetamine analogues and synthetic cathinones. In this work, an ultra-high-performance liquid chromatography-positive ion electrospray ionization tandem mass spectrometric method (UHPLC-ESI-MS/MS) has been developed and fully validated for the determination of 19 psychoactive substances, including nine amphetamine-type stimulants and 10 synthetic cathinone derivatives, in premortem and postmortem whole blood. The assay was based on the use of 1 mL premortem or postmortem whole blood, following solid phase extraction prior to the analysis. The separation was achieved on a Poroshell 120 EC-C18 analytical column with a gradient mobile phase of 0.1% formic acid in acetonitrile and 0.1% formic acid in water in 9 min. The dynamic multiple reaction monitoring used in this work allowed for limit of detection (LOD) and lower limit of quantitation (LOQ) values of 0.5 and 2 ng mL−1, respectively, for all analytes both in premortem and postmortem whole blood samples. A quadratic calibration model was used for the 12 quantitative analytes over the concentration range of 20–2000 ng mL−1, and the method was shown to be precise and accurate both in premortem and postmortem whole blood. The method was applied to the analysis of real cases and proved to be a valuable tool in forensic and clinical toxicology.

scholarly journals Isolation and characterization of circulating pro-vascular progenitor cell subsets from human whole blood samples

2021 ◽  
Vol 2 (1) ◽  
pp. 100311
Author(s):  
Daniella C. Terenzi ◽  
Ehab Bakbak ◽  
Justin Z. Trac ◽  
Mohammad Al-Omran ◽  
Adrian Quan ◽  
...  
Keyword(s):  
Whole Blood ◽  
Progenitor Cell ◽  
Blood Samples ◽  
Human Whole Blood ◽  
Isolation And Characterization ◽  
Whole Blood Samples
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