Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
PubMed; 2022.
Preprint in English | PubMed | ID: ppcovidwho-338494

ABSTRACT

The gut microbiome is a critical modulator of host immunity and is linked to the immune response to respiratory viral infections. However, few studies have gone beyond describing broad compositional alterations in severe COVID-19, defined as acute respiratory or other organ failure. We profiled 127 hospitalized patients with COVID-19 (n=79 with severe COVID-19 and 48 with moderate) who collectively provided 241 stool samples from April 2020 to May 2021 to identify links between COVID-19 severity and gut microbial taxa, their biochemical pathways, and stool metabolites. 48 species were associated with severe disease after accounting for antibiotic use, age, sex, and various comorbidities. These included significant in-hospital depletions of Fusicatenibacter saccharivorans and Roseburia hominis, each previously linked to post-acute COVID syndrome or "long COVID", suggesting these microbes may serve as early biomarkers for the eventual development of long COVID. A random forest classifier achieved excellent performance when tasked with predicting whether stool was obtained from patients with severe vs. moderate COVID-19. Dedicated network analyses demonstrated fragile microbial ecology in severe disease, characterized by fracturing of clusters and reduced negative selection. We also observed shifts in predicted stool metabolite pools, implicating perturbed bile acid metabolism in severe disease. Here, we show that the gut microbiome differentiates individuals with a more severe disease course after infection with COVID-19 and offer several tractable and biologically plausible mechanisms through which gut microbial communities may influence COVID-19 disease course. Further studies are needed to validate these observations to better leverage the gut microbiome as a potential biomarker for disease severity and as a target for therapeutic intervention.

2.
International Journal of Engineering Education ; 38(2):437-451, 2022.
Article in English | Web of Science | ID: covidwho-1743726

ABSTRACT

In this paper, the authors describe the development of a hybrid problem-based learning model for teaching during the COVID-19 pandemic, explores its impact on student learning effectiveness, and collects feedback from teachers on the teaching site. This study adopted experimental teaching with 30 students in the elective course of "Technology Application and Practice"of a university of science and technology as the research subjects. The hybrid PBL teaching model was applied and a 9-week "SDGs (Sustainable Development Goals, SDGs) App Creative Design Project"was implemented to collect qualitative and quantitative data for inductive analysis. The results of this study indicate that, in order to respond to students' learning inconvenience and the panic caused by COVID-19, "student-centered"hybrid PBL teaching should be implemented, and it is also necessary to provide students with care in learning and life. Furthermore, the real-time and functionality of the Line platform should be utilized for students' interactions with teachers and peer exchanges during the hybrid PBL courses. In summary, the innovative hybrid PBL course implementation method, as proposed by this study, has been affirmed by most students, and has shown positive and significant improvements in learning content and skills, teamwork, and task achievement. Finally, advice regarding hybrid PBL course teaching is put forward as a reference for implementation and application on the teaching site.

3.
Photonics Research ; 9(10):1970-1978, 2021.
Article in English | Scopus | ID: covidwho-1456046

ABSTRACT

In the diagnosis of severe contagious diseases such as Ebola, severe acute respiratory syndrome, and COVID-19, there is an urgent need for protein sensors with large refractive index sensitivities. Current terahertz metamaterials cannot be used to develop such protein sensors due to their low refractive index sensitivities. A simple method is proposed that is compatible with all geometrical structures of terahertz metamaterials to increase their refractive index sensitivities. This method uses patterned photoresist to float the split-ring resonators (SRRs) of a terahertz metamaterial at a height of 30 μm from its substrate that is deposited with complementary SRRs. The floating terahertz metamaterial has an extremely large refractive index sensitivity of 532 GHz/RIU because its near field is not distributed over the substrate and also because the complementary SRRs confine the field above the substrate. The floating terahertz metamaterial senses bovine serum albumin (BSA) and the protein binding of BSA and anti-BSA as BSA, and anti-BSA solutions with low concentrations that are smaller than 0.150 μmol/L are sequentially dropped onto it. The floating terahertz metamaterial is a great achievement to develop protein sensors with extremely large refractive index sensitivities, and has the potential to sense dangerous viruses. © 2021 Chinese Laser Press.

4.
Journal of Clinical Oncology ; 39(15 SUPPL), 2021.
Article in English | EMBASE | ID: covidwho-1339304

ABSTRACT

Background: Patients with multiple myeloma (MM) experience acute quality of life (QOL) exacerbations following autologous stem cell transplantation (ASCT) that can lead to long-term complications. Life coaching can improve QOL in a structured & personalized manner. We investigated the feasibility of a digital life coaching (DLC) platform, where coaching is accomplished through phone calls and text messages, for patients with MM during ASCT. Methods: Our pilot study (clinicaltrials.gov ID: NCT04432818) enrolled adult patients with MM, English proficiency, and cellphone ownership (smartphone not required). The 16-week DLC program, beginning at Day -5 before ASCT, included unlimited digital access to a certified life coach to help with identifying and accomplishing wellness-related goals. Our primary outcome was ongoing DLC engagement (≥ 1 bidirectional conversation every 4 weeks). Secondary outcomes were ePRO assessments of QOL (PROMIS Global Health), insomnia (PROMIS Sleep Disturbances), and distress (NCCN DT). Electronic patient-reported outcome (ePRO) assessments were delivered via automated REDCap emails every 1-2 weeks. Results: Of 18 screened patients, 15 (83%) enrolled in our study;2 patients dropped out before initiating DLC (including 1 who was unable to connect with her coach between Day -5 and 0). Of 13 remaining patients, median age was 65 (range 50-81) and 23% had an ECOG performance status of 1 (remainder 0). DLC conversations occurred a mean of every 7.6 days (range 3-28) overall and every 6.5 days (range 2.8-14) during the initial 28- day period including high-dose melphalan and hospitalization. 80% of patients maintained ≥ 1 conversation every 4 weeks. Selected ePRO results (mean ± standard error) are shown in the table. Conclusions: Certain MM patients are able to engage digitally with a life coach and complete email-based ePRO assessments during and after ASCT. Limitations of our study include selection bias and the Day -5 start date, which may be too late logistically and symptom-wise (given our ePRO findings suggestive of peak distress pre- ASCT). DLC may play an innovative and scalable role given the emphasis on remotely delivered care during the COVID-19 pandemic. A Phase II randomized study of DLC versus usual care is under way (clinicaltrials.gov ID:.

SELECTION OF CITATIONS
SEARCH DETAIL