Sensitive Raman detection of human recombinant interleukin-6 mediated by DCDR/GERS hybrid platforms

O-Cuevas, Emmanuel de la; Badillo‐Ramírez, Isidro; Islas, Selene R.; Araujo-Andrade, Cuauhtémoc; Sániger, José M.

doi:10.1039/c9ra01396b

Cited by 21 publications

(17 citation statements)

References 49 publications

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“…O-Cuevas et al (23) describe the Raman spectrum of IL-6 showing bands at 938, 1261 and 1655 cm-1 due to the C-C stretching of the backbone structure, amide III and amide I, respectively, corresponding to the typical a-helix secondary structure conformation of IL-6. In addition, conventional residues of amino acids, such as the band at 708 cm-1, indicates the C-S stretching of cysteine residues in the IL-6 structure.…”

Section: Discussionmentioning

confidence: 99%

Raman spectroscopy, used transcutaneously and non-invasively from a finger, to predict COVID-19: A feasibility, proof-of-concept study

Chefitz¹,

Birch

Yang³

et al. 2023

Preprint

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BACKGROUND A definitive COVID-19 infection typically is diagnosed by laboratory tests, including real-time, reverse-transcriptase Polymerase Chain Reaction (PCR)-based testing. These currently available COVID-19 tests require the patient to provide an extra-corporeal specimen and the results may not be immediate. Consequently, a variety of rapid antigen tests for COVID-19, all with a wide range of accuracy in terms of sensitivity and specificity, has proliferated (1,2). These rapid tests now represent a significantly larger proportion of all testing done for COVID-19, yet suffer from requiring a physical specimen from the nose or mouth and waiting 15 minutes for most. As a solution, we propose a non-invasive, trans-cutaneous, real-time viral detection device, based on the principles of Raman spectroscopy and machine learning. It does not require any extra-corporeal specimens and can be configured for self-administration. It can be easily used by non-experts and does not require medical training. Our approach suggests that our non-invasive, transcutaneous method may be broadly useful not only in COVID-19 diagnosis, but also in other diagnoses. METHODS 160 COVID positive (+) patients and 316 COVID negative (-) patients prospectively underwent nasal PCR testing concurrently with testing using our non-invasive, transcutaneous, immediate viral detector. Both the PCR and our experimental viral detector tests were performed side-by-side on outpatients (N=389) as well as inpatients (N= 87) at Holy Name Medical Center in Teaneck, NJ between June 2021 and August, 2022. The spectroscopic data were generated using an 830nm Raman System with SpectraSoft (W2 Innovations)and then, using machine learning, processed to provide an immediate prediction. A unique patient- interface for finger insertion enabled the application of Raman spectroscopy to viral detection in humans. RESULTS The data analysis algorithm demonstrates that there is an informative Raman spectrum output from the device, and that individual Raman peaks vary between cases and controls. Our proof-of-concept study yields encouraging results, with a specificity for COVID-19 of 0.75, and a sensitivity (including asymptomatic patients) of 0.80. CONCLUSIONS The combination of Raman spectroscopy, artificial intelligence, and our unique patient-interface admitting only a patient finger achieved test results of 0.75 specificity and 0.80 sensitivity for COVID-19 testing in this first in human proof-of-concept study. More significantly, the predictability improved with increasing data.

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Section: Discussionmentioning

confidence: 99%

Raman spectroscopy, used transcutaneously and non-invasively from a finger, to predict COVID-19: A feasibility, proof-of-concept study

Chefitz¹,

Birch

Yang³

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…This band region includes the C-C ring stretching vibrations of a number of amino acids, which in skin would be primarily proline, hydroxyproline ( Erckens et al, 1997 ; Talari et al, 2015 ; Hernández et al, 2016 ), tyrosine, and tryptophan ( Talari et al, 2015 ; Hernández et al, 2016 ). The latter two compounds are among the cytokines which are increased in inflammatory skin conditions ( Portugal-Cohen et al, 2012 ; de la O-Cuevas et al, 2019 ). Although none of the effects of time-point on the loading areas in this region were significant, the value of p s close to 0.1 between baseline and post-intervention, and between post-stressor and post-intervention support the preference for this region of post-intervention scores.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study

et al. 2022

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ObjectiveStress can play a role in the onset and exacerbation of psoriasis. Psychological interventions to reduce stress have been shown to improve psychological and psoriasis-related outcomes. This pilot randomised study investigated the feasibility of a brief interaction with a Paro robot to reduce stress and improve skin parameters, after a stressor, in patients with psoriasis.MethodsAround 25 patients with psoriasis participated in a laboratory stress task, before being randomised to either interact with a Paro robot or sit quietly (control condition) for 30 min. Raman spectroscopy and trans-epidermal water loss were measured at baseline, after the stressor and after the intervention as indexes of acute skin changes. Psychological variables, including self-reported stress and affect, were also measured at the three time-points.ResultsNo statistically significant differences between the two conditions were found for any of the outcomes measured. However, effect sizes suggest significance could be possible with a larger sample size. Changes in the psychological and Raman spectroscopy outcomes across the experimental session were found, indicating the feasibility of the procedures.ConclusionThis pilot study showed that a brief interaction with a Paro robot was a feasible intervention for patients with psoriasis, but future trials should broaden the inclusion criteria to try to increase recruitment rates. Studying people who are highly stressed, depressed or who are stress-responders may increase the power of the intervention to show effects using a longer-term intervention.

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“…In this direction, a proof of concept was shown wherein the combination of drop-coating deposition, Raman spectroscopy and graphene-enhanced Raman spectroscopy was used for IL-6 detection. The study was able to detect IL-6 even in 1 μL sample having IL-6 concentration of 1 pg/mL ( de la O-Cuevas et al, 2019 ), however, the sensitivity of the sensor was found to be affected with the substrates used. In case of silicon (Si) substrate, the detection limit was found below 1 ng/mL, but with reduced graphene oxide/silicon substrate (rGO/Si), the detection limit was found even below 1.0 pg/mL, i.e.…”

Section: Inflammatory Biomarkers and Their Detection Platformsmentioning

confidence: 99%

Advancement in biosensors for inflammatory biomarkers of SARS-CoV-2 during 2019–2020

Garg

Sharma

Singh

2021

Biosensors and Bioelectronics

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COVID-19 pandemic has affected everyone throughout the world and has resulted in the loss of lives of many souls. Due to the restless efforts of the researchers working hard day and night, some success has been gained for the detection of virus. As on date, the traditional polymerized chain reactions (PCR), lateral flow devices (LFID) and enzyme linked immunosorbent assays (ELISA) are being adapted for the detection of this deadly virus. However, a more exciting avenue is the detection of certain biomarkers associated with this viral infection which can be done by simply re-purposing our existing infrastructure. SARS-CoV-2 viral infection triggers various inflammatory, biochemical and hematological biomarkers. Because of the infection route that the virus follows, it causes significant inflammatory response. As a result, various inflammatory markers have been reported to be closely associated with this infection such as C-reactive proteins, interleukin-6, procalcitonin and ferritin. Sensing of these biomarkers can simultaneously help in understanding the illness level of the affected patient. Also, by monitoring these biomarkers, we can predict the viral infections in those patients who have low SARS-CoV-2 RNA and hence are missed by traditional tests. This can give more targets to the researchers and scientists, working in the area of drug development and provide better prognosis. In this review, we propose to highlight the conventional as well as the non-conventional methods for the detection of these inflammatory biomarkers which can act as a single platform of knowledge for the researchers and scientists working for the treatment of COVID-19.

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Sensitive Raman detection of human recombinant interleukin-6 mediated by DCDR/GERS hybrid platforms

Abstract: An analytical hybrid platform combining DCDR and GERS effects is presented. An absolute mass detection of 1 fg of IL-6 was reached.

Cited by 21 publications

References 49 publications

Raman spectroscopy, used transcutaneously and non-invasively from a finger, to predict COVID-19: A feasibility, proof-of-concept study

Raman spectroscopy, used transcutaneously and non-invasively from a finger, to predict COVID-19: A feasibility, proof-of-concept study

The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study

Advancement in biosensors for inflammatory biomarkers of SARS-CoV-2 during 2019–2020

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