Small molecule metabolites: discovery of biomarkers and therapeutic targets.

Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.

Effectiveness of telehealth-based exercise interventions on pain, physical function and quality of life in patients with knee osteoarthritis: A meta-analysis.

OBJECTIVE: The objective of the study was to evaluate the effectiveness of telehealth-based exercise intervention on pain, physical function and quality of life in patients with knee osteoarthritis. DESIGN: A systematic review and meta-analysis of randomised controlled trials (RCTs). METHODS: Six databases (PubMed, Embase, Cochrane Library, CINAHL, PEDro and Web of Science Core Collection) were searched for relevant randomised controlled trials published from database inception to 3 June 2021. Reviewers independently screened the literature, extracted data and used the Cochrane Collaboration Risk of Bias Tool for quality assessment. A meta-analysis and subgroup analyses, stratified by control condition, intervention duration and delivery type, were conducted by Revman 5.4. The study was reported in compliance with PRISMA statement. RESULTS: A total of 9 independent RCTs with 861 participants were included. The meta-analysis showed that the telehealth-based exercise interventions significantly reduced pain in KOA patients (SMD = -0.28, 95% CI [-0.49, -0.08], p < .01) and produced similar effects to controls in terms of physical function and quality of life. Subgroup analysis revealed that telehealth-based exercise interventions were superior to the use of exercise booklet and usual care in terms of pain and physical function and were similar to face-to-face exercise treatment; a long-term (>3 months) intervention and the use of web and smartphone APPs to deliver exercise interventions were associated with better pain relief and physical function. CONCLUSIONS: Telehealth-based exercise intervention is an effective strategy for KOA management during the COVID-19 epidemic, and it is significantly better than usual care in reducing knee pain and improving physical function and was able to achieve the effects of traditional face-to-face exercise treatment. Although the duration and type of delivery associated with the effect of the intervention have been identified, patient preference and acceptability need to be considered in practice.

Sustained clinical knowledge improvements from simulation experiences with Simulation via Instant Messaging-Birmingham Advance.

BACKGROUND: Simulation via Instant Messaging-Birmingham Advance (SIMBA) delivers simulation-based learning through WhatsApp and Zoom, helping to sustain continuing medical education (CME) for postgraduate healthcare professionals otherwise disrupted by the coronavirus (COVID-19) pandemic. This study aimed to assess whether SIMBA helped to improve clinical knowledge and if this improvement in knowledge was sustained over time. METHODS: Two SIMBA sessions-thyroid and pituitary-were conducted in July-August 2020. Each session included simulation of various real-life cases and interactive discussion. Participants' self-reported confidence, acceptance, and knowledge were measured using surveys and multiple-choice questions pre- and post-simulation and in a 6- to 12-week follow-up period. The evaluation surveys were designed using Moore's 7 Levels of CME Outcomes Framework. RESULTS: A total of 116 participants were included in the analysis. Significant improvement was observed in participants' self-reported confidence in approach to simulated cases (thyroid, n = 37, P < .0001; pituitary, n = 79, P < .0001). Significant improvement in clinical knowledge was observed following simulation (thyroid, n = 37, P < .0001; pituitary, n = 79, P < .0001). For both sessions, retention of confidence and knowledge was seen at 6-12 weeks' follow-up. CONCLUSIONS: SIMBA increased participants' clinical knowledge on simulated cases and this improvement was retained up to 6-12 weeks after the session. Further studies are required to explore long-term retention and whether it translates to improved real-world clinical practice.

Coronavirus Lung Infection Impairs Host Immunity against Secondary Bacterial Infection by Promoting Lysosomal Dysfunction.

Postviral bacterial infections are a major health care challenge in coronavirus infections, including COVID-19; however, the coronavirus-specific mechanisms of increased host susceptibility to secondary infections remain unknown. In humans, coronaviruses, including SARS-CoV-2, infect lung immune cells, including alveolar macrophages, a phenotype poorly replicated in mouse models of SARS-CoV-2. To overcome this, we used a mouse model of native murine ß-coronavirus that infects both immune and structural cells to investigate coronavirus-enhanced susceptibility to bacterial infections. Our data show that coronavirus infection impairs the host ability to clear invading bacterial pathogens and potentiates lung tissue damage in mice. Mechanistically, coronavirus limits the bacterial killing ability of macrophages by impairing lysosomal acidification and fusion with engulfed bacteria. In addition, coronavirus-induced lysosomal dysfunction promotes pyroptotic cell death and the release of IL-1ß. Inhibition of cathepsin B decreased cell death and IL-1ß release and promoted bacterial clearance in mice with postcoronavirus bacterial infection.

Developing a simulation-based learning model for acute medical education during COVID-19 pandemic with Simulation via Instant Messaging - Birmingham Advance (SIMBA).

Simulation-based learning (SBL) is well-established in medical education and has gained popularity, particularly during the COVID-19 pandemic when in-person teaching is infeasible. SBL replicates real-life scenarios and provides a fully immersive yet safe learning environment to develop clinical competency. Simulation via Instant Messaging - Birmingham Advance (SIMBA) is an exemplar of SBL, which we previously showed to be effective in endocrinology and diabetes. Previous studies reported the efficacy of SBL in acute medicine. We studied SIMBA as a learning intervention for healthcare professionals interested in acute medicine and defined our aims using the Kirkpatrick model: (i) develop an SBL tool to improve case management; (ii) evaluate experiences and confidence before and after; and (iii) compare efficacy across training levels.Three sessions were conducted, each representing a PDSA cycle (Plan-Do-Study-Act), consisting of four cases and advertised to healthcare professionals at our hospital and social media. Moderators facilitated progression through 25 min simulations and adopted patient and clinical roles as appropriate. Consultants chaired discussion sessions using relevant guidelines. Presimulation and postsimulation questionnaires evaluated self-reported confidence, feedback and intended changes to clinical practice.Improvements were observed in self-reported confidence managing simulated cases across all sessions. Of participants, 93.3% found SIMBA applicable to clinical practice, while 89.3% and 88.0% felt SIMBA aided personal and professional development, respectively. Interestingly, 68.0% preferred SIMBA to traditional teaching methods. Following participant feedback, more challenging cases were included, and we extended the time for simulation and discussion. The transcripts were amended to facilitate more participant-moderator interaction representing clinical practice. In addition, we refined participant recruitment over the three sessions. In cycle 1, we advertised incentives: participation counted towards teaching requirements, certificates and feedback. To rectify the reduction in participants in cycle 2, we implemented new advertisement methods in cycle 3, including on-site posters, reminder emails and recruitment of the defence deanery cohort.

Medical students' and junior doctors' leadership and teamwork skills improved after involvement with Simulation via Instant Messaging-Birmingham Advance (SIMBA).

BACKGROUND: Leadership and teamwork skills are essential components of medical education. Simulation via Instant Messaging-Birmingham Advance (SIMBA) is an innovative simulation-based learning tool mainly delivered by medical students and junior doctors. This study aimed to investigate the effect of SIMBA on leadership and teamwork skills of medical students and junior doctors during COVID-19. METHODS: All medical students and junior doctors involved in the delivery of SIMBA were invited to complete the Leadership Trait Questionnaire (LTQ) and Teamwork Skills Questionnaire (TSQ) assessing their views pre-SIMBA and post-SIMBA involvement. The changes in scores were analysed using the Wilcoxon signed-rank test. Open-ended questions were reviewed in an inductive thematic analysis. RESULTS: A total of 33 SIMBA team members completed both questionnaires. There was improvement in all traits measured in the LTQ and TSQ, significant in 9/14 LTQ traits, and all 6 TSQ traits (p<0.05). 'Decision making' had the highest improvement (p<0.0001). Response to open-ended questions reported positive effects on personal development, medical professionalism, communication skills and medical/clinical knowledge. CONCLUSIONS: SIMBA is an effective model to inculcate leadership and teamwork skills among medical students and junior doctors. Prospective studies are underway to assess long-term impact.

Simulation via instant messaging – Birmingham advance (SIMBA): an innovative simulation-based learning model that helped to keep medical education continue during the COVID-19 pandemic

Simulation-based learning is a useful teaching modality to develop clinicians' knowledge and skills, while protecting patients from harm.1 While simulation has traditionally occurred via face-to-face role play, many of its principles can be adapted for remote learning. The aim of this study was to explore the effectiveness of Simulation via Instant Messaging - Birmingham Advance (SIMBA) as a model of virtual simulation-based medical education during the COVID-19 pandemic. There was a significant improvement in selfreported confidence in participants' approach to the simulated cases (overall (204;p<0.001);adrenal (33;p<0.001);thyroid (37;p<0.001);pituitary (79;p<0.001);inflammatory bowel disease (17;p<0.001);acute medicine (38;p<0.001)).

SARS-CoV-2 spike promotes inflammation and apoptosis through autophagy by ROS-suppressed PI3K/AKT/mTOR signaling.

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection-induced inflammatory responses are largely responsible for the death of novel coronavirus disease 2019 (COVID-19) patients. However, the mechanism by which SARS-CoV-2 triggers inflammatory responses remains unclear. Here, we aimed to explore the regulatory role of SARS-CoV-2 spike protein in infected cells and attempted to elucidate the molecular mechanism of SARS-CoV-2-induced inflammation. METHODS: SARS-CoV-2 spike pseudovirions (SCV-2-S) were generated using the spike-expressing virus packaging system. Western blot, mCherry-GFP-LC3 labeling, immunofluorescence, and RNA-seq were performed to examine the regulatory mechanism of SCV-2-S in autophagic response. The effects of SCV-2-S on apoptosis were evaluated by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), Western blot, and flow cytometry analysis. Enzyme-linked immunosorbent assay (ELISA) was carried out to examine the mechanism of SCV-2-S in inflammatory responses. RESULTS: Angiotensin-converting enzyme 2 (ACE2)-mediated SCV-2-S infection induced autophagy and apoptosis in human bronchial epithelial and microvascular endothelial cells. Mechanistically, SCV-2-S inhibited the PI3K/AKT/mTOR pathway by upregulating intracellular reactive oxygen species (ROS) levels, thus promoting the autophagic response. Ultimately, SCV-2-S-induced autophagy triggered inflammatory responses and apoptosis in infected cells. These findings not only improve our understanding of the mechanism underlying SARS-CoV-2 infection-induced pathogenic inflammation but also have important implications for developing anti-inflammatory therapies, such as ROS and autophagy inhibitors, for COVID-19 patients.

Utility of Simulation via Instant Messaging - Birmingham Advance (SIMBA) in medical education during COVID-19 pandemic.

BACKGROUND: Simulation via Instant Messaging - Birmingham Advance (SIMBA) aimed to improve clinicians' confidence in managing various clinical scenarios during the COVID-19 pandemic. METHODS: Five SIMBA sessions were conducted between May and August 2020. Each session included simulation of scenarios and interactive discussion. Participants' self-reported confidence, acceptance, and relevance of the simulated cases were measured. RESULTS: Significant improvement was observed in participants' self-reported confidence (overall n = 204, p<0.001; adrenal n = 33, p<0.001; thyroid n = 37, p<0.001; pituitary n = 79, p<0.001; inflammatory bowel disease n = 17, p<0.001; acute medicine n = 38, p<0.001). Participants reported improvements in clinical competencies: patient care 52.0% (n = 106/204), professionalism 30.9% (n = 63/204), knowledge on patient management 84.8% (n = 173/204), systems-based practice 48.0% (n = 98/204), practice-based learning 69.6% (n = 142/204) and communication skills 25.5% (n = 52/204). CONCLUSION: SIMBA is a novel pedagogical virtual simulation-based learning model that improves clinicians' confidence in managing conditions across various specialties.

Acute Kidney Injury in Patients with the Coronavirus Disease 2019: A Multicenter Study.

INTRODUCTION: Severe acute respiratory viral infections are frequency accompanied by multiple organ dysfunction, including acute kidney injury (AKI). In December 2019, the coronavirus disease 2019 (COVID-19) outbreak began in Wuhan, Hubei Province, China, and rapidly spread worldwide. While diffuse alveolar damage and acute respiratory failure are the main features of COVID-19, other organs may be involved, and the incidence of AKI is not well described. We assessed the incidence and clinical characteristics of AKI in patients with laboratory-confirmed COVID-19 and its effects on clinical outcomes. METHODS: We conducted a multicenter, retrospective, observational study of patients with COVID-19 admitted to two general hospitals in Wuhan from 5 January 2020 to 21 March 2020. Demographic data and information on organ dysfunction were collected daily. AKI was defined according to the KDIGO clinical practice guidelines. Early and late AKI were defined as AKI occurring within 72 h after admission or after 72 h, respectively. RESULTS: Of the 116 patients, AKI developed in 21 (18.1%) patients. Among them, early and late AKI were found in 13 (11.2%) and 8 (6.9%) patients, respectively. Compared with patients without AKI, patients with AKI had more severe organ dysfunction, as indicated by a higher level of disease severity status, higher sequential organ failure assessment (SOFA) score on admission, an increased prevalence of shock, and a higher level of respiratory support. Patients with AKI had a higher SOFA score on admission (4.5 ± 2.1 vs. 2.8 ± 1.4, OR 1.498, 95% CI 1.047-2.143 ) and greater hospital mortality (57.1% vs. 12.6%, OR 3.998, 95% CI 1.088-14.613) than patients without AKI in both the univariate and multivariate analyses. Patients with late AKI, but not those with early AKI, had a significantly prolonged length of stay (19.6 vs. 9.6 days, p = 0.015). CONCLUSION: Our findings show that admission SOFA score was an independent risk factor for AKI in COVID-19 patients, and patients with AKI had higher in-hospital mortality. Moreover, AKI development after 72 h of admission was related to prolonged hospitalization time.

Co-infection with SARS-CoV-2 and Influenza A Virus in Patient with Pneumonia, China.

We report co-infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A virus in a patient with pneumonia in China. The case highlights possible co-detection of known respiratory viruses. We noted low sensitivity of upper respiratory specimens for SARS-CoV-2, which could further complicate recognition of the full extent of disease.