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  1. Article: How materials can beat a virus.

    Jones, Samuel T

    Journal of materials science

    2020  Volume 55, Issue 22, Page(s) 9148–9151

    Keywords covid19
    Language English
    Publishing date 2020-05-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2015305-3
    ISSN 1573-4803 ; 0022-2461
    ISSN (online) 1573-4803
    ISSN 0022-2461
    DOI 10.1007/s10853-020-04678-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Multifunctional Self-Assembled Block Copolymer/Iron Oxide Nanocomposite Hydrogels Formed from Wormlike Micelles.

    Yue, Qi / Wang, Shiyu / Jones, Samuel T / Fielding, Lee A

    ACS applied materials & interfaces

    2024  

    Abstract: This article reports the preparation of multifunctional magnetic nanocomposite hydrogels formed from wormlike micelles. Specifically, iron oxide nanoparticles were incorporated into a temperature responsive block copolymer, poly(glycerol monomethacrylate) ...

    Abstract This article reports the preparation of multifunctional magnetic nanocomposite hydrogels formed from wormlike micelles. Specifically, iron oxide nanoparticles were incorporated into a temperature responsive block copolymer, poly(glycerol monomethacrylate)-
    Language English
    Publishing date 2024-04-09
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.4c03007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: ACC Advocacy: Engage, Influence, Advocate.

    Fry, Edward T A / Jones, Samuel O / Morse, Nick

    Journal of the American College of Cardiology

    2022  Volume 80, Issue 19, Page(s) 1844–1847

    MeSH term(s) Humans ; Health Policy ; Patient Advocacy
    Language English
    Publishing date 2022-10-13
    Publishing country United States
    Document type Editorial
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2022.09.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Bridging Flocculation of a Sterically Stabilized Cationic Latex as a Biosensor for the Detection of Microbial DNA after Amplification via PCR.

    Trinh, Elisabeth / Batt, Lauren J / Yue, Qi / Du, Ruiling / Jones, Samuel T / Fielding, Lee A

    Biomacromolecules

    2024  Volume 25, Issue 3, Page(s) 1629–1636

    Abstract: There is a high demand for rapid, sensitive, and accurate detection methods for pathogens. This paper demonstrates a method of detecting the presence of amplified DNA from a range of pathogens associated with serious infections including Gram-negative ... ...

    Abstract There is a high demand for rapid, sensitive, and accurate detection methods for pathogens. This paper demonstrates a method of detecting the presence of amplified DNA from a range of pathogens associated with serious infections including Gram-negative bacteria, Gram-positive bacteria, and viruses. DNA is amplified using a polymerase chain reaction (PCR) and consequently detected using a sterically stabilized, cationic polymer latex. The DNA induces flocculation of this cationic latex, which consequently leads to rapid sedimentation and a visible change from a milky-white dispersion to one with a transparent supernatant, presenting a clear visible change, indicating the presence of amplified DNA. Specifically, a number of different pathogens were amplified using conventional or qPCR, including
    MeSH term(s) Latex ; Flocculation ; DNA/genetics ; Staphylococcus aureus/genetics ; Polymerase Chain Reaction/methods ; Biosensing Techniques ; DNA, Bacterial/genetics ; Sensitivity and Specificity
    Chemical Substances Latex ; DNA (9007-49-2) ; DNA, Bacterial
    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Journal Article
    ISSN 1526-4602
    ISSN (online) 1526-4602
    DOI 10.1021/acs.biomac.3c01187
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Deoxyribonucleic acid polymer nanoparticle hydrogels.

    Bagley, Robert H T / Jones, Samuel T

    Chemical communications (Cambridge, England)

    2021  Volume 57, Issue 91, Page(s) 12111–12114

    Abstract: Polymer nanoparticle hydrogels made of deoxyribonucleic acid and silica have been prepared and shown to display shear thinning and self-healing properties, sustained release of cargo and enzymatic degradation. ...

    Abstract Polymer nanoparticle hydrogels made of deoxyribonucleic acid and silica have been prepared and shown to display shear thinning and self-healing properties, sustained release of cargo and enzymatic degradation.
    MeSH term(s) DNA/chemistry ; DNA/metabolism ; Deoxyribonucleases/chemistry ; Deoxyribonucleases/metabolism ; Hydrogels/chemistry ; Hydrogels/metabolism ; Nanoparticles/chemistry ; Nanoparticles/metabolism ; Polymers/chemistry ; Polymers/metabolism ; Silicon Dioxide/chemistry ; Silicon Dioxide/metabolism
    Chemical Substances Hydrogels ; Polymers ; Silicon Dioxide (7631-86-9) ; DNA (9007-49-2) ; Deoxyribonucleases (EC 3.1.-)
    Language English
    Publishing date 2021-11-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d1cc05668a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation.

    Park, Core Francisco / Barzegar-Keshteli, Mahsa / Korchagina, Kseniia / Delrocq, Ariane / Susoy, Vladislav / Jones, Corinne L / Samuel, Aravinthan D T / Rahi, Sahand Jamal

    Nature methods

    2023  Volume 21, Issue 1, Page(s) 142–149

    Abstract: Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional ...

    Abstract Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional neural network with ground-truth (GT) annotations of images representing different brain postures. For 3D images, this is very labor intensive. We introduce 'targeted augmentation', a method to automatically synthesize artificial annotations from a few manual annotations. Our method ('Targettrack') learns the internal deformations of the brain to synthesize annotations for new postures by deforming GT annotations. This reduces the need for manual annotation and proofreading. A graphical user interface allows the application of the method end-to-end. We demonstrate Targettrack on recordings where neurons are labeled as key points or 3D volumes. Analyzing freely moving animals exposed to odor pulses, we uncover rich patterns in interneuron dynamics, including switching neuronal entrainment on and off.
    MeSH term(s) Animals ; Deep Learning ; Caenorhabditis elegans/physiology ; Imaging, Three-Dimensional/methods ; Neural Networks, Computer ; Neurons/physiology ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-12-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2169522-2
    ISSN 1548-7105 ; 1548-7091
    ISSN (online) 1548-7105
    ISSN 1548-7091
    DOI 10.1038/s41592-023-02096-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Deoxyribonucleic acid polymer nanoparticle hydrogels

    Bagley, Robert H. T. / Jones, Samuel T.

    Chemical communications. 2021 Nov. 16, v. 57, no. 91

    2021  

    Abstract: Polymer nanoparticle hydrogels made of deoxyribonucleic acid and silica have been prepared and shown to display shear thinning and self-healing properties, sustained release of cargo and enzymatic degradation. ...

    Abstract Polymer nanoparticle hydrogels made of deoxyribonucleic acid and silica have been prepared and shown to display shear thinning and self-healing properties, sustained release of cargo and enzymatic degradation.
    Keywords DNA ; hydrogels ; polymers ; silica
    Language English
    Dates of publication 2021-1116
    Size p. 12111-12114.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d1cc05668a
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Subtyping Severe Hypercholesterolemia by Genetic Determinant to Stratify Risk of Coronary Artery Disease.

    Berry, Alexander S F / Jones, Laney K / Sijbrands, Eric J / Gidding, Samuel S / Oetjens, Matthew T

    Arteriosclerosis, thrombosis, and vascular biology

    2023  Volume 43, Issue 10, Page(s) 2058–2067

    Abstract: Background: Severe hypercholesterolemia, defined as LDL (low-density lipoprotein) cholesterol (LDL-C) measurement ≥190 mg/dL, is associated with increased risk for coronary artery disease (CAD). Causes of severe hypercholesterolemia include monogenic ... ...

    Abstract Background: Severe hypercholesterolemia, defined as LDL (low-density lipoprotein) cholesterol (LDL-C) measurement ≥190 mg/dL, is associated with increased risk for coronary artery disease (CAD). Causes of severe hypercholesterolemia include monogenic familial hypercholesterolemia, polygenic hypercholesterolemia, elevated lipoprotein(a) [Lp(a)] hypercholesteremia, polygenic hypercholesterolemia with elevated Lp(a) (two-hit), or nongenetic hypercholesterolemia. The added value of using a genetics approach to stratifying risk of incident CAD among those with severe hypercholesterolemia versus using LDL-C levels alone for risk stratification is not known.
    Methods: To determine whether risk stratification by genetic cause provided better 10-year incident CAD risk stratification than LDL-C level, a retrospective cohort study comparing incident CAD risk among severe hypercholesterolemia subtypes (genetic and nongenetic causes) was performed among 130 091 UK Biobank participants. Analyses were limited to unrelated, White British or Irish participants with available exome sequencing data. Participants with cardiovascular disease at baseline were excluded from analyses of incident CAD.
    Results: Of 130 091 individuals, 68 416 (52.6%) were women, and the mean (SD) age was 56.7 (8.0) years. Of the cohort, 9.0% met severe hypercholesterolemia criteria. Participants with LDL-C between 210 and 229 mg/dL and LDL-C ≥230 mg/dL showed modest increases in incident CAD risk relative to those with LDL-C between 190 and 209 mg/dL (210-229 mg/dL: hazard ratio [HR], 1.3 [95% CI, 1.1-1.7]; ≥230 mg/dL: HR, 1.3 [95% CI, 1.0-1.7]). In contrast, when risk was stratified by genetic subtype, monogenic familial hypercholesterolemia, elevated Lp(a), and two-hit hypercholesterolemia subtypes had increased rates of incident CAD relative to the nongenetic hypercholesterolemia subtype (monogenic familial hypercholesterolemia: HR, 2.3 [95% CI, 1.4-4.0]; elevated Lp(a): HR, 1.5 [95% CI, 1.2-2.0]; two-hit: HR, 1.9 [95% CI, 1.4-2.6]), while polygenic hypercholesterolemia did not.
    Conclusions: Genetics-based subtyping for monogenic familial hypercholesterolemia and Lp(a) in those with severe hypercholesterolemia provided better stratification of 10-year incident CAD risk than LDL-C-based stratification.
    MeSH term(s) Humans ; Female ; Middle Aged ; Male ; Coronary Artery Disease/epidemiology ; Coronary Artery Disease/genetics ; Hypercholesterolemia/diagnosis ; Hypercholesterolemia/epidemiology ; Hypercholesterolemia/genetics ; Cholesterol, LDL ; Retrospective Studies ; Hyperlipoproteinemia Type II/diagnosis ; Hyperlipoproteinemia Type II/epidemiology ; Hyperlipoproteinemia Type II/genetics ; Risk Factors
    Chemical Substances Cholesterol, LDL
    Language English
    Publishing date 2023-08-17
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1221433-4
    ISSN 1524-4636 ; 1079-5642
    ISSN (online) 1524-4636
    ISSN 1079-5642
    DOI 10.1161/ATVBAHA.123.319341
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Electronic and electrochemical viral detection for point-of-care use: A systematic review.

    Monteil, Solen / Casson, Alexander J / Jones, Samuel T

    PloS one

    2021  Volume 16, Issue 9, Page(s) e0258002

    Abstract: Detecting viruses, which have significant impact on health and the economy, is essential for controlling and combating viral infections. In recent years there has been a focus towards simpler and faster detection methods, specifically through the use of ... ...

    Abstract Detecting viruses, which have significant impact on health and the economy, is essential for controlling and combating viral infections. In recent years there has been a focus towards simpler and faster detection methods, specifically through the use of electronic-based detection at the point-of-care. Point-of-care sensors play a particularly important role in the detection of viruses. Tests can be performed in the field or in resource limited regions in a simple manner and short time frame, allowing for rapid treatment. Electronic based detection allows for speed and quantitative detection not otherwise possible at the point-of-care. Such approaches are largely based upon voltammetry, electrochemical impedance spectroscopy, field effect transistors, and similar electrical techniques. Here, we systematically review electronic and electrochemical point-of-care sensors for the detection of human viral pathogens. Using the reported limits of detection and assay times we compare approaches both by detection method and by the target analyte of interest. Compared to recent scoping and narrative reviews, this systematic review which follows established best practice for evidence synthesis adds substantial new evidence on 1) performance and 2) limitations, needed for sensor uptake in the clinical arena. 104 relevant studies were identified by conducting a search of current literature using 7 databases, only including original research articles detecting human viruses and reporting a limit of detection. Detection units were converted to nanomolars where possible in order to compare performance across devices. This approach allows us to identify field effect transistors as having the fastest median response time, and as being the most sensitive, some achieving single-molecule detection. In general, we found that antigens are the quickest targets to detect. We also observe however, that reports are highly variable in their chosen metrics of interest. We suggest that this lack of systematisation across studies may be a major bottleneck in sensor development and translation. Where appropriate, we use the findings of the systematic review to give recommendations for best reporting practice.
    MeSH term(s) Electronics ; Humans ; Point-of-Care Systems ; Virus Diseases/diagnosis ; Virus Diseases/virology
    Language English
    Publishing date 2021-09-30
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Systematic Review
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0258002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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