Extended storage of SARS-CoV-2 nasopharyngeal swabs does not negatively impact results of molecular-based testing across three clinical platforms

With the global outbreak of COVID-19, the demand for testing rapidly increased and quickly exceeded the testing capacities of many laboratories. Clinical tests which receive CE (Conformité Européenne) and Food and Drug Administration (FDA) authorisations cannot always be tested thoroughly in a real-world environment. Here we demonstrate the long-term stability of nasopharyngeal swab specimens for SARS-CoV-2 molecular testing across three assays recently approved by the US FDA under Emergency Use Authorization. This study demonstrates that nasopharyngeal swab specimens can be stored under refrigeration or even ambient conditions for 21 days without clinically impacting the results of the real-time reverse transcriptase-PCR testing.

Download Full-text

Extended Storage of SARS-CoV2 Nasopharyngeal Swabs Does Not Negatively Impact Results of Molecular-Based Testing

10.1101/2020.05.16.20104158 ◽

2020 ◽

Author(s):

Karin A Skalina ◽

D. Yitzchak Goldstein ◽

Jaffar Sulail ◽

Eunkyu Hahm ◽

Momka Narlieva ◽

...

Keyword(s):

Nasopharyngeal Swab ◽

Molecular Testing ◽

The Novel ◽

Clinical Tests ◽

Ambient Conditions ◽

Rt Pcr ◽

Long Term Stability ◽

Novel Coronavirus ◽

World Environment

With the global outbreak of the novel coronavirus disease 2019, the demand for testing rapidly increased and quickly exceeded the testing capacities for many laboratories. Clinical tests which receive CE and FDA authorizations cannot always be tested thoroughly in a real-world environment. Here we demonstrate the long-term stability of nasopharyngeal swab specimens for SARS-CoV-2 molecular testing across three assays recently approved by the U.S. FDA under Emergency Use Authorization. This study demonstrates that nasopharyngeal swab specimens can be stored under refrigeration or even ambient conditions for 21 days without clinically impacting the results of the real-time RT-PCR testing.

Download Full-text

An updated review of infliximab biosimilar, CT-P13, in the treatment of immune-mediated inflammatory diseases

Immunotherapy ◽

10.2217/imt-2020-0086 ◽

2020 ◽

Vol 12 (9) ◽

pp. 609-623

Author(s):

Seung Wook Hong ◽

Yong-Gil Kim ◽

Byong Duk Ye

Keyword(s):

Clinical Trials ◽

Clinical Outcomes ◽

Real World ◽

Inflammatory Diseases ◽

European Medicines Agency ◽

Immune Mediated ◽

The Us ◽

Us Fda ◽

The Cost

The introduction of anti-TNFs, such as infliximab (IFX), has revolutionized the treatment of immune-mediated inflammatory diseases. Anti-TNF agents have shown outstanding efficacy and long-term improvement of clinical outcomes, but the cost has been relatively high. Out of this concern, several ‘biosimilar’ drugs of anti-TNF agents have been developed. CT-P13, the first biosimilar of reference IFX, was approved by the European Medicines Agency and licensed by the US FDA for use in all indications of IFX. This updated review summarizes all aspects of CT-P13, including pharmacology and pharmacokinetics, and evaluates its efficacy, safety and immunogenicity for all indications based on the results of the latest clinical trials as well as on real-world experiences.

Download Full-text

Long-term stability in γ-CsPbI3 perovskite via an ultraviolet-curable polymer network

Communications Materials ◽

10.1038/s43246-021-00134-1 ◽

2021 ◽

Vol 2 (1) ◽

Author(s):

Nam-Kwang Cho ◽

Hyun-Jae Na ◽

Jeeyoung Yoo ◽

Youn Sang Kim

Keyword(s):

Polymer Network ◽

Lone Pair ◽

Ambient Conditions ◽

Absorption Properties ◽

Term Stability ◽

Long Term Stability ◽

Ultraviolet Curable ◽

Oxygen Lone Pair ◽

Lone Pair Electrons

AbstractBlack-colored (α, γ-phase) CsPbI3 perovskites have a small bandgap and excellent absorption properties in the visible light regime, making them attractive for solar cells. However, their long-term stability in ambient conditions is limited. Here, we demonstrate a strategy to improve structural and electrical long-term stability in γ-CsPbI3 by the use of an ultraviolet-curable polyethylene glycol dimethacrylate (PEGDMA) polymer network. Oxygen lone pair electrons from the PEGDMA are found to capture Cs+ and Pb2+ cations, improving crystal growth of γ-CsPbI3 around PEGDMA. In addition, the PEGDMA polymer network strongly contributes to maintaining the black phase of γ-CsPbI3 for more than 35 days in air, and an optimized perovskite film retained ~90% of its initial electrical properties under red, green, and blue light irradiation.

Download Full-text

Comparison of Real-World Treatment Outcomes With Vedolizumab Versus Infliximab in Biologic-Naive Patients With Inflammatory Bowel Disease

Crohn's & Colitis 360 ◽

10.1093/crocol/otz022 ◽

2019 ◽

Vol 1 (2) ◽

Cited By ~ 2

Author(s):

Haridarshan Patel ◽

Dominick Latremouille-Viau ◽

Rebecca Burne ◽

Sherry Shi ◽

Shashi Adsul

Keyword(s):

Inflammatory Bowel Disease ◽

Real World ◽

Bowel Disease ◽

Treatment Initiation ◽

Healthcare Resource ◽

Healthcare Resource Utilization ◽

Persistence Rates ◽

The Us ◽

Inflammatory Bowel

Abstract Background Little is known about long-term real-world effectiveness of vedolizumab versus infliximab in biologic-naive patients with inflammatory bowel disease (IBD). Methods Biologic-naive IBD patients who received vedolizumab or infliximab in the US Explorys Universe database (May 2014–September 2018) were weighted using Entropy-balancing. Results Persistence rates were higher for vedolizumab (N = 542) versus infliximab (N = 1,179) cohort at 12 (84.5% vs 77.5%; P = 0.0061) and 24 (77.6% vs 64.6%; P = 0.0005) months post-maintenance therapy. Healthcare resource utilization composite end point rates were lower in vedolizumab versus infliximab cohort at 12 (36.2% vs 48.2%; P < 0.0001) and 24 (46.9% vs 59.9%; P < 0.0001) months post-treatment initiation. Conclusions Biologic-naive IBD patients who received vedolizumab had better long-term real-world effectiveness measures versus infliximab patients.

Download Full-text

Controlled Surface Fermi-level on the SeS2-passivated n-GaAs (100)

MRS Proceedings ◽

10.1557/proc-510-653 ◽

1998 ◽

Vol 510 ◽

Cited By ~ 2

Author(s):

Jing xi Sun ◽

F. J. Himpsel ◽

T. F. Kuech

Keyword(s):

Fermi Level ◽

Photoemission Spectroscopy ◽

Ambient Conditions ◽

Surface Band ◽

Band Bending ◽

Term Stability ◽

Long Term Stability ◽

Synchrotron Radiation Photoemission ◽

Surface Fermi Level

AbstractSelenium disulfide surface treatment can unpin the surface Fermi-level on n-GaAs (100) surfaces, resulting in a reduction in the surface band bending. The long-term stability of the surface Fermi-level unpinning has been studied using photoreflectance spectroscopy under room ambient conditions. Our results show that the SeS2-treated n-GaAs (100) surface is stable up to four months with negligible shift in the surface Fermi-level being noted. The mechanism of the long-term stability is attributed to the layered surface structure formed on the SeS2-treated n- GaAs (100) surface. The chemical structure of the passivated surface was determined by synchrotron radiation photoemission spectroscopy. The outermost layer of sulfur and arsenicbased sulfides and selenides may protect the electronic passivating layer, which consists of gallium-based selenides, from interaction with the atmosphere.

Download Full-text

Growth kinetics and long-term stability of CdS nanoparticles in aqueous solution under ambient conditions

Journal of Nanoparticle Research ◽

10.1007/s11051-010-0045-9 ◽

2010 ◽

Vol 13 (1) ◽

pp. 393-404 ◽

Cited By ~ 34

Author(s):

Katherine M. Mullaugh ◽

George W. Luther

Keyword(s):

Aqueous Solution ◽

Growth Kinetics ◽

Cds Nanoparticles ◽

Ambient Conditions ◽

Term Stability ◽

Long Term Stability

Download Full-text

Estimated Cancer Risks Associated with Nitrosamine Contamination in Commonly Used Medications

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18189465 ◽

2021 ◽

Vol 18 (18) ◽

pp. 9465

Author(s):

Kate Li ◽

Karin Ricker ◽

Feng C. Tsai ◽

ChingYi J. Hsieh ◽

Gwendolyn Osborne ◽

...

Keyword(s):

Environmental Protection Agency ◽

Animal Species ◽

Protection Agency ◽

Cancer Risks ◽

The Us ◽

Treatment Of Hypertension ◽

Us Fda

Many nitrosamines are potent carcinogens, with more than 30 listed under California’s Proposition 65. Recently, nitrosamine contamination of commonly used drugs for treatment of hypertension, heartburn, and type 2 diabetes has prompted numerous Food and Drug Administration (FDA) recalls in the US. These contaminants include the carcinogens NDMA (N-nitrosodimethylamine) and NDEA (N-nitrosodiethylamine) and the animal tumorigen NMBA (N-nitroso-N-methyl-4-aminobutyric acid). NMBA and NDEA are metabolically and/or structurally related to NDMA, an N-nitrosomethyl-n-alkylamine (NMA), and 12 other carcinogenic NMAs. These nitrosamines exhibit common genotoxic and tumorigenic activities, with shared target tumor sites amongst chemicals and within a given laboratory animal species. We use the drug valsartan as a case study to estimate the additional cancer risks associated with NDMA and NDEA contamination, based on nitrosamine levels reported by the US FDA, cancer potencies developed by California’s Proposition 65 program and the US Environmental Protection Agency (EPA), and specific exposure scenarios. These estimates suggest that nitrosamine contamination in drugs that are used long-term can increase cancer risks and pose a serious concern to public health.

Download Full-text

Chemical Robotics Enabled Exploration of Stability and Photoluminescent Behavior in Multicomponent Hybrid Perovskites via Machine Learning

10.26434/chemrxiv.12436079.v2 ◽

2020 ◽

Author(s):

Kate Higgins ◽

Sai Mani Valleti ◽

Maxim Ziatdinov ◽

Sergei Kalinin ◽

Mahshid Ahmadi

Keyword(s):

Phase Diagram ◽

Gaussian Process Regression ◽

Optimization Methods ◽

Combinatorial Synthesis ◽

Ambient Conditions ◽

Term Stability ◽

Long Term Stability ◽

Sensing Applications ◽

Multiple Materials

Hybrid organic-inorganic perovskites have attracted immense interest as a promising material for a variety of optoelectronic and sensing applications. However, issues regarding long-term stability have emerged as the key bottleneck for applications and still require further study. Here, we develop automated experimental workflow based on combinatorial synthesis and rapid throughput characterization to explore long-term stability of these materials in ambient conditions, and apply it to four model perovskite systems: <a></a><a>MAxFAyCs1-x-yPbBr3, MAxFAyCs1-x-yPbI3, CsxFAyMA1-x-yPb(Brx+yI1-x-y)3 and CsxMAyFA1-x-yPb(Ix+yBr1-x-y)3</a>. We have both established a new workflow and found out the main tendencies in the mixed cation and anion systems, which led to the discovery of non-trivial composition regions with high stability. The Non-negative Matrix Factorization and Gaussian Process regression are used to interpolate the photoluminescent behavior of vast compositional space and to study the overall behavior of the phase diagram. This interpolative regression analysis helps to distinguish mixtures that form solid solutions from those that segregate into multiple materials, pointing out the most stable regions of the phase diagram. We find the stability dependence on composition to be extremely non-uniform within the composition space, suggesting the presence of potential preferential compositional regions. <a>This proposed workflow is universal and can be applied to other perovskite systems and solution-processable materials. </a>Furthermore, incorporation of experimental optimization methods, e.g., those based on Gaussian Processes, will enable the transition from combinatorial synthesis to guide materials research and optimization.

Download Full-text

On Long-Term Stability of Metallic Glasses

Metals ◽

10.3390/met9101076 ◽

2019 ◽

Vol 9 (10) ◽

pp. 1076 ◽

Cited By ~ 4

Author(s):

Louzguine-Luzgin ◽

Jiang

Keyword(s):

Metallic Glasses ◽

Surface Oxidation ◽

Initial Structure ◽

Ambient Conditions ◽

Scanning Calorimetry ◽

Long Term Stability ◽

Transmission Electron ◽

Different Types ◽

Thermal Stability Of

Thermal stability of different types of metallic glasses and partially crystalline alloys stored for at least 15 years at ambient conditions was tested in the present work by differential scanning calorimetry in comparison with that of the original alloys tested in the as-cast state in the earlier works. The structure of the naturally aged alloys was also studied by X-ray diffractometry. The structure of a couple of selected alloys was also tested by transmission electron microscopy. Most of the alloys retained their initial structure and showed only a moderate decrease in the crystallization temperature. Only those alloys which showed visible surface oxidation (Cu-Zr-system based) were partly transformed into a crystalline state forming micron-scale Cu particles in air at ambient conditions.

Download Full-text

Chemical Robotics Enabled Exploration of Stability and Photoluminescent Behavior in Multicomponent Hybrid Perovskites via Machine Learning

10.26434/chemrxiv.12436079.v1 ◽

2020 ◽

Author(s):

Kate Higgins ◽

Sai Mani Valleti ◽

Maxim Ziatdinov ◽

Sergei Kalinin ◽

Mahshid Ahmadi

Keyword(s):

Machine Learning ◽

Optimization Methods ◽

Combinatorial Synthesis ◽

Ambient Conditions ◽

Term Stability ◽

Long Term Stability ◽

Composition Space ◽

Materials Research ◽

The Stability

Hybrid organic-inorganic perovskites have attracted immense interest as a promising material for the next-generation solar cells; however, issues regarding long-term stability still require further study. Here, we develop automated experimental workflow based on combinatorial synthesis and rapid throughput characterization to explore long-term stability of these materials in ambient conditions, and apply it to four model perovskite systems: MAxFAyCs1-x-yPbBr3, MAxFAyCs1-x-yPbI3, (CsxFAyMA1-x-yPb(Brx+yI1-x-y)3) and (CsxMAyFA1-x-yPb(Ix+yBr1-x-y)3). We also develop a machine learning-based workflow to quantify the evolution of each system as a function of composition based on overall changes in photoluminescence spectra, as well as specific peak positions and intensities. We find the stability dependence on composition to be extremely non-uniform within the composition space, suggesting the presence of potential preferential compositional regions. This proposed workflow is universal and can be applied to other perovskite systems and solution-processable materials. Furthermore, incorporation of experimental optimization methods, e.g., those based on Gaussian Processes, will enable the transition from combinatorial synthesis to guide materials research and optimization.

Download Full-text