Non-invasive XRF analysis of ancient Egyptian and near Eastern turquoise: A pilot study

2021 ◽  
Vol 36 ◽  
pp. 102893
Author(s):  
Federico Carò ◽  
Deborah Schorsch ◽  
Louisa Smieska ◽  
Brunella Santarelli
2015 ◽  
Vol 24 (2) ◽  
pp. 197-201 ◽  
Author(s):  
Ramesh P. Arasaradnam ◽  
Michael McFarlane ◽  
Emma Daulton ◽  
Erik Westenbrink ◽  
Nicola O’Connell ◽  
...  

Background & Aims: Non-Alcoholic Fatty Liver Disease (NAFLD) is the commonest cause of chronic liver disease in the western world. Current diagnostic methods including Fibroscan have limitations, thus there is a need for more robust non-invasive screening methods. The gut microbiome is altered in several gastrointestinal and hepatic disorders resulting in altered, unique gut fermentation patterns, detectable by analysis of volatile organic compounds (VOCs) in urine, breath and faeces. We performed a proof of principle pilot study to determine if progressive fatty liver disease produced an altered urinary VOC pattern; specifically NAFLD and Non-Alcoholic Steatohepatitis (NASH).Methods: 34 patients were recruited: 8 NASH cirrhotics (NASH-C); 7 non-cirrhotic NASH; 4 NAFLD and 15 controls. Urine was collected and stored frozen. For assay, the samples were defrosted and aliquoted into vials, which were heated to 40±0.1°C and the headspace analyzed by FAIMS (Field Asymmetric Ion Mobility Spectroscopy). A previously used data processing pipeline employing a Random Forrest classification algorithm and using a 10 fold cross validation method was applied.Results: Urinary VOC results demonstrated sensitivity of 0.58 (0.33 - 0.88), but specificity of 0.93 (0.68 - 1.00) and an Area Under Curve (AUC) 0.73 (0.55 -0.90) to distinguish between liver disease and controls. However, NASH/NASH-C was separated from the NAFLD/controls with a sensitivity of 0.73 (0.45 - 0.92), specificity of 0.79 (0.54 - 0.94) and AUC of 0.79 (0.64 - 0.95), respectively.Conclusions: This pilot study suggests that urinary VOCs detection may offer the potential for early non-invasive characterisation of liver disease using 'smell prints' to distinguish between NASH and NAFLD.


2008 ◽  
Vol 14 (5) ◽  
pp. 231-235 ◽  
Author(s):  
Georgina Corte Franco ◽  
Floriane Gallay ◽  
Marc Berenguer ◽  
Christine Mourrain ◽  
Pascal Couturier

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0170668 ◽  
Author(s):  
Jully Gogoi-Tiwari ◽  
Vincent Williams ◽  
Charlene Babra Waryah ◽  
Paul Costantino ◽  
Hani Al-Salami ◽  
...  

2021 ◽  
Author(s):  
Natalia Browarska ◽  
Jaroslaw Zygarlicki ◽  
Mariusz Pelc ◽  
Michal Niemczynowicz ◽  
Malgorzata Zygarlicka ◽  
...  

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1514
Author(s):  
Prakash Ghosh ◽  
Israel Cruz ◽  
Albert Picado ◽  
Thomas Edwards ◽  
Md. Anik Ashfaq Khan ◽  
...  

Background: Detection of Leishmania antigens in the urine provides a non-invasive means of diagnosis and treatment monitoring of cases of visceral leishmaniasis (VL). Leishmania antigen load in the urine may vary between different time-points within a day, thus influencing the performance of antigen-detection tests. Methods: We investigated the dynamics of Leishmania antigen in urine collected at three different time points (08:00, 12:00 and 16:00 hours). All urine samples collected were tested with the Leishmania Antigen ELISA (VL ELISA) kit, produced by Kalon Biological Ltd., UK. Results: The median concentration of Leishmania antigen in urine collected at 08:00 (2.7 UAU-urinary antigen units/ml) was higher than at 12:00 (1.7 UAU/ml) and at 16:00 (1.9 UAU/ml). These differences were found to be statistically significant (08:00 vs. 12:00, p=0.011; 08:00 vs. 16:00, p=0.041). Conclusion: This pilot study indicates that the Leishmania antigen concentration is higher in urine samples collected in the morning, which has important implications when the VL ELISA kit or other tests to detect Leishmania antigen in urine are used for diagnosis of VL and treatment monitoring.


2018 ◽  
Vol 10 (3) ◽  
pp. 43 ◽  
Author(s):  
A.A. Plekhanov ◽  
E.V. Gubarkova ◽  
A.A. Sovietsky ◽  
V.Y. Zaitsev ◽  
L.A. Matveev ◽  
...  

2019 ◽  
Author(s):  
Julianna H. Prim ◽  
Sangtae Ahn ◽  
Maria I. Davila ◽  
Morgan L. Alexander ◽  
Karen L. McCulloch ◽  
...  

AbstractBackgroundChronic low back pain (CLBP) is characterized by an alteration in pain processing by the central nervous system that may affect autonomic nervous system (ANS) balance. Heart rate variability (HRV) reflects the balance of parasympathetic and sympathetic ANS activation. In particular, respiratory sinus arrhythmia (RSA) solely reflects parasympathetic input and is reduced in CLBP patients. Yet, it remains unknown if non-invasive brain stimulation can alter ANS balance in CLBP patients.ObjectiveTo evaluate if non-invasive brain stimulation modulates the ANS, we analyzed HRV metrics collected in a previously published study of transcranial alternating current stimulation (tACS) for the modulation of CLBP through enhancing alpha oscillations. We hypothesized that tACS would increase RSA.MethodsA randomized, crossover, double-blind, sham-controlled pilot study was conducted to investigate the effects of 10Hz-tACS on metrics of ANS balance calculated from electrocardiogram (ECG). ECG data were collected for 2 minutes before and after 40 minutes of 10Hz-tACS or sham stimulation.ResultsThere were no significant changes in RSA or other frequency-domain HRV components from 10Hz-tACS. However, exploratory time-domain HRV analysis revealed a significant increase in the standard deviation of normal RR intervals (SDNN) for 10Hz-tACS relative to sham.Conclusion(s)Although tACS did not significantly increase RSA, we found in an exploratory analysis that tACS modulated an integrated HRV measure of both ANS branches. These findings support the further study of how the ANS and alpha oscillations interact and are modulated by tACS.


2018 ◽  
Vol 8 (7) ◽  
pp. 134 ◽  
Author(s):  
Daniel Blackburn ◽  
Yifan Zhao ◽  
Matteo De Marco ◽  
Simon Bell ◽  
Fei He ◽  
...  

Background: The incidence of Alzheimer disease (AD) is increasing with the ageing population. The development of low cost non-invasive diagnostic aids for AD is a research priority. This pilot study investigated whether an approach based on a novel dynamic quantitative parametric EEG method could detect abnormalities in people with AD. Methods: 20 patients with probable AD, 20 matched healthy controls (HC) and 4 patients with probable fronto temporal dementia (FTD) were included. All had detailed neuropsychology along with structural, resting state fMRI and EEG. EEG data were analyzed using the Error Reduction Ratio-causality (ERR-causality) test that can capture both linear and nonlinear interactions between different EEG recording areas. The 95% confidence intervals of EEG levels of bi-centroparietal synchronization were estimated for eyes open (EO) and eyes closed (EC) states. Results: In the EC state, AD patients and HC had very similar levels of bi-centro parietal synchronization; but in the EO resting state, patients with AD had significantly higher levels of synchronization (AD = 0.44; interquartile range (IQR) 0.41 vs. HC = 0.15; IQR 0.17, p < 0.0001). The EO/EC synchronization ratio, a measure of the dynamic changes between the two states, also showed significant differences between these two groups (AD ratio 0.78 versus HC ratio 0.37 p < 0.0001). EO synchronization was also significantly different between AD and FTD (FTD = 0.075; IQR 0.03, p < 0.0001). However, the EO/EC ratio was not informative in the FTD group due to very low levels of synchronization in both states (EO and EC). Conclusion: In this pilot work, resting state quantitative EEG shows significant differences between healthy controls and patients with AD. This approach has the potential to develop into a useful non-invasive and economical diagnostic aid in AD.


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