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  1. Chu M, Gopikrishna D, Rocke J, Kumar BN
    Med J Malaysia, 2021 08;76(Suppl 4):9-13.
    PMID: 34558550
    INTRODUCTION: It is clear that a proportion of patients continue to suffer long-lasting symptoms following acute infection with coronavirus disease 2019 (COVID-19). Persistent olfactory dysfunction is one of the commonest complaints reported in the condition colloquially known as long COVID (now known as post-acute sequelae of SARS-CoV-2 infection (PASC)). The prevalence, risk factors and clinical course of long COVID olfactory dysfunction are not yet well understood. At present, the main stay of treatment is olfactory training. Quantitative olfactory testing and impacts on patient quality of life have not been widely studied. This study describes our experiences at Wrightington, Wigan and Leigh Teaching Hospitals, UK (WWL) of establishing a COVID-19 smell clinic, along with preliminary data on patient demographics, baseline smell test scores and quality of life questionnaire scores before olfactory training.

    METHODS: We piloted a COVID-19 smell clinic. We recorded patient demographics and clinical characteristics then performed clinical assessment of each patient. Quantitative measurements of olfactory dysfunction were recorded using the University of Pennsylvania Smell Identification Test (UPSIT). We measured the impact of olfactory dysfunction on patient quality of life using the validated English Olfactory Disorders Questionnaire (eODQ).

    RESULTS: 20 patients participated in the clinic. 4 patients were excluded from analysis due to missing data. Median age was 35 years. 81% (n=13) of the participants were female. 50% (n=8) of patients suffered with a combination of anosmia/ageusia and parosmia, whilst 43% (n=7) of patients suffered with anosmia/ageusia without parosmia. Almost all the patients registered UPSIT scores in keeping with impaired olfaction. Patient scores ranged from 22 to 35, with the median score at 30. All patients reported that their olfactory dysfunction had an impact on their quality of life. The median eODQ score reported was 90, with scores ranging from 42 to 169 out of a maximum of 180.

    CONCLUSION: We have demonstrated that it is simple and feasible to set up a COVID-19 smell clinic. The materials are inexpensive, but supervised completion of the UPSIT and eODQ is time-consuming. Patients demonstrate reduced olfaction on quantitative testing and experience significant impacts on their quality of life as a result. More research is needed to demonstrate if olfactory training results in measurable improvements in smell test scores and quality of life.

  2. Xiu W, Zhang Y, Tang D, Lee SH, Zeng R, Ye T, et al.
    Cell Oncol (Dordr), 2024 Dec;47(6):2201-2215.
    PMID: 39373858 DOI: 10.1007/s13402-024-00999-7
    PURPOSE: Taxol is the first-line chemo-drug for advanced non-small cell lung cancer (NSCLC), but it frequently causes acquired resistance, which leads to the failure of treatment. Therefore, it is critical to screen and characterize the mechanism of the taxol-resistance reversal agent that could re-sensitize the resistant cancer cells to chemo-drug.

    METHOD: The cell viability, sphere-forming and xenografts assay were used to evaluate the ability of ASIV to reverse taxol-resistance. Immunohistochemistry, cytokine application, small-interfering RNA, small molecule inhibitors, and RNA-seq approaches were applied to characterize the molecular mechanism of inhibition of epiregulin (EREG) and downstream signaling by ASIV to reverse taxol-resistance.

    RESULTS: ASIV reversed taxol resistance through suppression of the stemness-associated genes of spheres in NSCLC. The mechanism exploration revealed that ASIV promoted the K48-linked polyubiquitination of EREG along with degradation. Moreover, EREG could be triggered by chemo-drug treatment. Consequently, EREG bound to the ErbB receptor and activated the ERK signal to regulate the expression of the stemness-associated genes. Inhibition of EREG/ErbB/ERK could reverse the taxol-resistance by inhibiting the stemness-associated genes. Finally, it was observed that TGFβ and Hedgehog signaling were downstream of EREG/ErbB/ERK, which could be targeted using inhibitors to reverse the taxol resistance of NSCLC.

    CONCLUSIONS: These findings revealed that inhibition of EREG by ASIV reversed taxol-resistance through suppression of the stemness of NSCLC via EREG/ErbB/ERK-TGFβ, Hedgehog axis.

  3. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Jun 28;132(26):261902.
    PMID: 38996325 DOI: 10.1103/PhysRevLett.132.261902
    A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20  fb^{-1} of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is m_{t}=172.52±0.14(stat)±0.30(syst)  GeV, with a total uncertainty of 0.33 GeV.
  4. Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, et al.
    Phys Rev Lett, 2024 Jan 12;132(2):021803.
    PMID: 38277607 DOI: 10.1103/PhysRevLett.132.021803
    The first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018. These correspond to integrated luminosities of around 140  fb^{-1} for each experiment, at a center-of-mass energy of 13 TeV. The measured signal yield is 2.2±0.7 times the standard model prediction, and agrees with the theoretical expectation within 1.9 standard deviations.
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