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  1. Article ; Online: Baricitinib as the treatment of choice for hospitalised individuals with COVID-19.

    Richardson, Peter J / Stebbing, Justin

    EClinicalMedicine

    2022  Volume 49, Page(s) 101493

    Language English
    Publishing date 2022-06-03
    Publishing country England
    Document type Journal Article
    ISSN 2589-5370
    ISSN (online) 2589-5370
    DOI 10.1016/j.eclinm.2022.101493
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Development of a regional climate change model for

    Staples, Kerry / Neville, Peter J / Richardson, Steven / Oosthuizen, Jacques

    Bulletin of entomological research

    2024  Volume 114, Issue 1, Page(s) 8–21

    Abstract: Mosquito-borne disease is a significant public health issue and within Australia Ross River virus (RRV) is the most reported. This study combines a mechanistic model of mosquito development for two mosquito vectors; ...

    Abstract Mosquito-borne disease is a significant public health issue and within Australia Ross River virus (RRV) is the most reported. This study combines a mechanistic model of mosquito development for two mosquito vectors;
    MeSH term(s) Animals ; Western Australia ; Aedes ; Climate Models ; Climate Change ; Water ; Culicidae
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2024-01-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 280516-9
    ISSN 1475-2670 ; 0007-4853
    ISSN (online) 1475-2670
    ISSN 0007-4853
    DOI 10.1017/S0007485323000561
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Baricitinib as the treatment of choice for hospitalised individuals with COVID-19

    Peter J. Richardson / Justin Stebbing

    EClinicalMedicine, Vol 49, Iss , Pp 101493- (2022)

    2022  

    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A Multi-Species Simulation of Mosquito Disease Vector Development in Temperate Australian Tidal Wetlands Using Publicly Available Data.

    Staples, Kerry / Richardson, Steven / Neville, Peter J / Oosthuizen, Jacques

    Tropical medicine and infectious disease

    2023  Volume 8, Issue 4

    Abstract: Worldwide, mosquito monitoring and control programs consume large amounts of resources in the effort to minimise mosquito-borne disease incidence. On-site larval monitoring is highly effective but time consuming. A number of mechanistic models of ... ...

    Abstract Worldwide, mosquito monitoring and control programs consume large amounts of resources in the effort to minimise mosquito-borne disease incidence. On-site larval monitoring is highly effective but time consuming. A number of mechanistic models of mosquito development have been developed to reduce the reliance on larval monitoring, but none for Ross River virus, the most commonly occurring mosquito-borne disease in Australia. This research modifies existing mechanistic models for malaria vectors and applies it to a wetland field site in Southwest, Western Australia. Environmental monitoring data were applied to an enzyme kinetic model of larval mosquito development to simulate timing of adult emergence and relative population abundance of three mosquito vectors of the Ross River virus for the period of 2018-2020. The model results were compared with field measured adult mosquitoes trapped using carbon dioxide light traps. The model showed different patterns of emergence for the three mosquito species, capturing inter-seasonal and inter-year variation, and correlated well with field adult trapping data. The model provides a useful tool to investigate the effects of different weather and environmental variables on larval and adult mosquito development and can be used to investigate the possible effects of changes to short-term and long-term sea level and climate changes.
    Language English
    Publishing date 2023-04-03
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2414-6366
    ISSN (online) 2414-6366
    DOI 10.3390/tropicalmed8040215
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The Detection and Reactivity of Silanols and Silanes Using Hyperpolarized

    Rayner, Peter J / Richardson, Peter M / Duckett, Simon B

    Angewandte Chemie (International ed. in English)

    2020  Volume 59, Issue 7, Page(s) 2710–2714

    Abstract: Silanols and silanes are key precursors and intermediates for the synthesis of silicon-based materials. While their characterization and quantification ... ...

    Abstract Silanols and silanes are key precursors and intermediates for the synthesis of silicon-based materials. While their characterization and quantification by
    Language English
    Publishing date 2020-01-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.201915098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Microglial morphometric analysis: so many options, so little consistency.

    Reddaway, Jack / Richardson, Peter Eulalio / Bevan, Ryan J / Stoneman, Jessica / Palombo, Marco

    Frontiers in neuroinformatics

    2023  Volume 17, Page(s) 1211188

    Abstract: Quantification of microglial activation through morphometric analysis has long been a staple of the neuroimmunologist's toolkit. Microglial morphological phenomics can be conducted through either manual classification or constructing a digital skeleton ... ...

    Abstract Quantification of microglial activation through morphometric analysis has long been a staple of the neuroimmunologist's toolkit. Microglial morphological phenomics can be conducted through either manual classification or constructing a digital skeleton and extracting morphometric data from it. Multiple open-access and paid software packages are available to generate these skeletons via semi-automated and/or fully automated methods with varying degrees of accuracy. Despite advancements in methods to generate morphometrics (quantitative measures of cellular morphology), there has been limited development of tools to analyze the datasets they generate, in particular those containing parameters from tens of thousands of cells analyzed by fully automated pipelines. In this review, we compare and critique the approaches using cluster analysis and machine learning driven predictive algorithms that have been developed to tackle these large datasets, and propose improvements for these methods. In particular, we highlight the need for a commitment to
    Language English
    Publishing date 2023-08-10
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2452979-5
    ISSN 1662-5196
    ISSN 1662-5196
    DOI 10.3389/fninf.2023.1211188
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: The AI-Assisted Identification and Clinical Efficacy of Baricitinib in the Treatment of COVID-19.

    Richardson, Peter J / Robinson, Bruce W S / Smith, Daniel P / Stebbing, Justin

    Vaccines

    2022  Volume 10, Issue 6

    Abstract: During the current pandemic, the vast majority of COVID-19 patients experienced mild symptoms, but some had a potentially fatal aberrant hyperinflammatory immune reaction characterized by high levels of IL-6 and other cytokines. Modulation of this immune ...

    Abstract During the current pandemic, the vast majority of COVID-19 patients experienced mild symptoms, but some had a potentially fatal aberrant hyperinflammatory immune reaction characterized by high levels of IL-6 and other cytokines. Modulation of this immune reaction has proven to be the only method of reducing mortality in severe and critical COVID-19. The anti-inflammatory drug baricitinib (Olumiant) has recently been strongly recommended by the WHO for use in COVID-19 patients because it reduces the risk of progressive disease and death. It is a Janus Kinase (JAK) 1/2 inhibitor approved for rheumatoid arthritis which was suggested in early 2020 as a treatment for COVID-19. In this review the AI-assisted identification of baricitinib, its antiviral and anti-inflammatory properties, and efficacy in clinical trials are discussed and compared with those of other immune modulators including glucocorticoids, IL-6 and IL-1 receptor blockers and other JAK inhibitors. Baricitinib inhibits both virus infection and cytokine signalling and is not only important for COVID-19 management but is "non-immunological", and so should remain effective if new SARS-CoV-2 variants escape immune control. The repurposing of baricitinib is an example of how advanced artificial intelligence (AI) can quickly identify new drug candidates that have clinical benefit in previously unsuspected therapeutic areas.
    Language English
    Publishing date 2022-06-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines10060951
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  8. Article ; Online: CXCR4 and Glioblastoma.

    Richardson, Peter J

    Anti-cancer agents in medicinal chemistry

    2015  Volume 16, Issue 1, Page(s) 59–74

    Abstract: This article focuses on the possible application of antagonists of the G-protein coupled chemokine receptor, CXCR4, for the treatment of glioblastoma and summarises the evidence for CXCR4 antagonism being a viable therapeutic approach. Particular ... ...

    Abstract This article focuses on the possible application of antagonists of the G-protein coupled chemokine receptor, CXCR4, for the treatment of glioblastoma and summarises the evidence for CXCR4 antagonism being a viable therapeutic approach. Particular attention is paid to the role of this receptor in cancer stem cell biology, and the maintenance of CXCR4 expression by the glioblastoma key driver mutations. The expression of the CXCR4 receptor, and of its ligand stromal derived factor 1 (SDF-1, CXCL12), is maintained by intracellular pathways via positive feedback loops, and is associated with the epithelial mesenchymal transition (EMT) and the generation and self-renewal of cancer stem cells. SDF-1 and CXCR4 also play a role in the generation and maintenance of the perivascular stem cell niche which contains these cancer stem cells. The available data suggest that most, if not all, glioblastoma cancer stem cells rely on CXCR4 mediated signalling to maintain their phenotype. SDF-1 and CXCR4 are alsoinvolved in many other aspects of brain tumour biology including resistance to radio- and chemotherapy, the migration of cancer cells through the brain, the generation of the tumour blood supply and the recruitment of vascular progenitor cells. These properties suggest that a CXCR4 antagonist would help in the control of this disease.
    MeSH term(s) Cell Differentiation ; Glioblastoma/drug therapy ; Glioblastoma/genetics ; Glioblastoma/pathology ; Humans ; Neoplastic Stem Cells/pathology ; Receptors, CXCR4/antagonists & inhibitors ; Receptors, CXCR4/genetics
    Chemical Substances CXCR4 protein, human ; Receptors, CXCR4
    Language English
    Publishing date 2015-08-14
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2217610-X
    ISSN 1875-5992 ; 1871-5206
    ISSN (online) 1875-5992
    ISSN 1871-5206
    DOI 10.2174/1871520615666150824153032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5583: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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  9. Article ; Online: Baricitinib for COVID-19: a suitable treatment? - Authors' reply.

    Richardson, Peter J / Corbellino, Mario / Stebbing, Justin

    The Lancet. Infectious diseases

    2020  Volume 20, Issue 9, Page(s) 1013–1014

    MeSH term(s) Anti-Inflammatory Agents ; Antiviral Agents ; Azetidines ; Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; Sulfonamides
    Chemical Substances Anti-Inflammatory Agents ; Antiviral Agents ; Azetidines ; Sulfonamides ; baricitinib (ISP4442I3Y)
    Keywords covid19
    Language English
    Publishing date 2020-04-03
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(20)30270-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5743: Show issues Location:
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  10. Article ; Online: Hollow core fiber Fabry-Perot interferometers with reduced sensitivity to temperature: erratum.

    Ding, Meng / Numkam Fokoua, Eric / Hayes, John R / Sakr, Hesham / Horak, Peter / Poletti, Francesco / Richardson, David J / Slavík, Radan

    Optics letters

    2023  Volume 48, Issue 10, Page(s) 2772

    Abstract: In the original publication of our research article "Hollow core fiber Fabry-Perot interferometers with reduced sensitivity to temperature" [Opt. Lett.47, 2510 (2022)10.1364/OL.456589OPLEDP0146-9592], we identified an error that requires correction. The ... ...

    Abstract In the original publication of our research article "Hollow core fiber Fabry-Perot interferometers with reduced sensitivity to temperature" [Opt. Lett.47, 2510 (2022)10.1364/OL.456589OPLEDP0146-9592], we identified an error that requires correction. The authors sincerely apologize for any confusion that may have arisen from this error. The correction does not affect the overall conclusions of the paper.
    Language English
    Publishing date 2023-05-15
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.492217
    Database MEDical Literature Analysis and Retrieval System OnLINE

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