| 11. |
- Parma, Valentina, et al.
(author)
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More Than Smell—COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis
- 2020
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In: Chemical Senses. - : Oxford University Press (OUP). - 0379-864X .- 1464-3553. ; 45:7, s. 609-622
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Journal article (peer-reviewed)abstract
- Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments, such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, and generally lacked quantitative measurements. Here, we report the development, implementation, and initial results of a multilingual, international questionnaire to assess self-reported quantity and quality of perception in 3 distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, and 8 others, aged 19–79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste, and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change ±100) revealed a mean reduction of smell (−79.7 ± 28.7, mean ± standard deviation), taste (−69.0 ± 32.6), and chemesthetic (−37.3 ± 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell but also affects taste and chemesthesis. The multimodal impact of COVID-19 and the lack of perceived nasal obstruction suggest that severe acute respiratory syndrome coronavirus strain 2 (SARS-CoV-2) infection may disrupt sensory-neural mechanisms.
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| 12. |
- Carnero Corrales, Marjorie A., et al.
(author)
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Thermal proteome profiling identifies the membrane-bound purinergic receptor P2X4 as a target of the autophagy inhibitor indophagolin
- 2021
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In: Cell Chemical Biology. - : Elsevier. - 2451-9456 .- 2451-9448. ; 28:12, s. 1750-1757.e5
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Journal article (peer-reviewed)abstract
- Signaling pathways are frequently activated through signal-receiving membrane proteins, and the discovery ofsmall molecules targeting these receptors may yield insights into their biology. However, due to their intrinsicproperties,membrane protein targets often cannot be identified bymeans of established approaches, in particularaffinity-based proteomics, calling for the exploration of new methods. Here, we report the identification ofindophagolin as representative member of an indoline-based class of autophagy inhibitors through a targetagnosticphenotypic assay. Thermal proteome profiling and subsequent biochemical validation identified thepurinergic receptor P2X4 as a target of indophagolin, and subsequent investigations suggest that indophagolintargets further purinergic receptors. These results demonstrate that thermal proteome profiling may enable thede novo identification of membrane-bound receptors as cellular targets of bioactive small molecules.
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| 13. |
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| 14. |
- Jouhten, P., et al.
(author)
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Predictive evolution of metabolic phenotypes using model-designed environments
- 2022
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In: Molecular Systems Biology. - : EMBO. - 1744-4292. ; 18:10
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Journal article (peer-reviewed)abstract
- Adaptive evolution under controlled laboratory conditions has been highly effective in selecting organisms with beneficial phenotypes such as stress tolerance. The evolution route is particularly attractive when the organisms are either difficult to engineer or the genetic basis of the phenotype is complex. However, many desired traits, like metabolite secretion, have been inaccessible to adaptive selection due to their trade-off with cell growth. Here, we utilize genome-scale metabolic models to design nutrient environments for selecting lineages with enhanced metabolite secretion. To overcome the growth-secretion trade-off, we identify environments wherein growth becomes correlated with a secondary trait termed tacking trait. The latter is selected to be coupled with the desired trait in the application environment where the trait manifestation is required. Thus, adaptive evolution in the model-designed selection environment and subsequent return to the application environment is predicted to enhance the desired trait. We experimentally validate this strategy by evolving Saccharomyces cerevisiae for increased secretion of aroma compounds, and confirm the predicted flux-rerouting using genomic, transcriptomic, and proteomic analyses. Overall, model-designed selection environments open new opportunities for predictive evolution.
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| 15. |
- Parker, W. A. E., et al.
(author)
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Prevalence of microspirometry-defined chronic obstructive pulmonary disease in two European cohorts of patients with significant smoking history hospitalised for acute myocardial infarction
- 2023
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In: Thorax. - : BMJ Publishing Group Ltd. - 0040-6376 .- 1468-3296. ; 78:Suppl. 4, s. A66-A66
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Journal article (other academic/artistic)abstract
- Introduction: Smoking is a major risk factor for both chronic obstructive pulmonary disease (COPD) and myocardial infarction (MI). Systemic inflammation also contributes to both diseases and has been suggested as a potential target for intervention. Prevalence of COPD in those with a significant smoking history hospitalised for MI has not been well-characterised. We sought to obtain an accurate estimate of COPD burden in this group and characterise the population.Methods: Two consecutive cohorts of patients hospitalised for MI with a smoking history of ≥10 pack-years were recruited in Sweden and the United Kingdom (UK). Baseline characteristics were recorded, including treatment with inhaled corticosteroids (ICS) and eosinophil count in blood. Microspirometry was performed using the Vitalograph COPD-6 device and symptom burden assessed using the COPD Assessment Test (CAT). The primary outcome was the prevalence of a preliminary diagnosis of clinically-significant COPD, here defined as a ratio of forced expiratory volume in 1 and 6 seconds (FEV1/FEV6) <0.7 and with FEV1 <80% of predicted value.Results: In the UK cohort, 216 participants with MI (26% female, median age 60 (IQR 53–67) years, smoking history 32 (23–45) pack-years) were recruited. The proportion with any COPD was 36%. Clinically-significant COPD was found in 30 participants (13.9%, 95% CI 9.5–19.2). Of these, 43% had a prior COPD diagnosis, 20% had an eosinophil count ≥300 cells/mm3, mean CAT score was 14.4 ± 9.3), 80% had high symptom burden (CAT score >10) and 23% were receiving ICS. The Swedish cohort included 302 participants with MI (24% female, median age 68 (IQR 61–76) years, 26 (15–38) pack years), and clinically-significant COPD was found in 52 (17.2%; 12.9–21.5). In these 52 participants, 17% had a prior COPD diagnosis, 20% had an eosinophil count ≥300 cells/mm3, mean CAT score was 12.9 ± 7.2, 63% had CAT score ≥10 and 15% had treatment with ICS.Conclusions: The prevalence of preliminary diagnosis of clinically-significant COPD in patients with a ≥10 pack-year smoking history hospitalised for MI is similar between two European cohorts and under-recognised. Further work is warranted to determine whether identification and treatment of COPD improves clinical outcomes following MI.
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