The UK Academic Foundation Programmes: are the objectives being met?

Background Since the Academic Foundation Programme was established in the UK in 2005 a number of trainees have participated in this programme; however, there are few published national data on the experiences of these academic trainees. We aimed to assess the perceived value and challenges of training on the AFP. Methods In March 2017, an anonymous electronic questionnaire was distributed to all Academic Foundation Programme trainees in the UK, via their local foundation school administrators. Results: Fifty-six respondents completed the survey from 9 out of the 15 Academic Units of Application. Of these, 82% were undertaking a research based Academic Foundation Programme; however, 41% reported not having access to any training on research methods and governance. Sixty-six percent reported they were aware of the aims and expected outcomes of the Academic Foundation Programme, but the self-reported achievement of academic compendium outcomes was relatively low. Sixty-three percent rated the quality of their experience on the Academic Foundation Programme as excellent or good and 75% reported that they intended to continue in academia. Most trainees (64%) reported that the completion of a postgraduate qualification as part of their Academic Foundation Programme would improve the programme. Conclusion The Academic Foundation Programme plays a valuable role in trainees’ development and preparing them for a career in academia. However, the objectives of the programme are currently not being uniformly achieved. Furthermore, trainees feel there remains room for improvement in the design of the Programme

Development and internal validation of a diagnostic prediction model for COVID-19 at time of admission to hospital.

BACKGROUND: Early coronavirus disease 2019 (COVID-19) diagnosis prior to laboratory testing results is crucial for infection control in hospitals. Models exist predicting COVID-19 diagnosis, but significant concerns exist regarding methodology and generalizability. AIM: To generate the first COVID-19 diagnosis risk score for use at the time of hospital admission using the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) checklist. DESIGN: A multivariable diagnostic prediction model for COVID-19 using the TRIPOD checklist applied to a large single-centre retrospective observational study of patients with suspected COVID-19. METHODS: 581 individuals were admitted with suspected COVID-19; the majority had laboratory-confirmed COVID-19 (420/581, 72.2%). Retrospective collection was performed of electronic clinical records and pathology data. RESULTS: The final multivariable model demonstrated AUC 0.8535 (95% confidence interval 0.8121-0.8950). The final model used six clinical variables that are routinely available in most low and high-resource settings. Using a cut-off of 2, the derived risk score has a sensitivity of 78.1% and specificity of 86.8%. At COVID-19 prevalence of 10% the model has a negative predictive value (NPV) of 96.5%. CONCLUSIONS: Our risk score is intended for diagnosis of COVID-19 in individuals admitted to hospital with suspected COVID-19. The score is the first developed for COVID-19 diagnosis using the TRIPOD checklist. It may be effective as a tool to rule out COVID-19 and function at different pandemic phases of variable COVID-19 prevalence. The simple score could be used by any healthcare worker to support hospital infection control prior to laboratory testing results

In vitro synthesis of heparosan using recombinant Pasteurella multocida heparosan synthase PmHS2

In vertebrates and bacteria, heparosan the precursor of heparin is synthesized by glycosyltransferases via the stepwise addition of UDP-N-acetylglucosamine and UDP-glucuronic acid. As heparin-like molecules represent a great interest in the pharmaceutical area, the cryptic Pasteurella multocida heparosan synthase PmHS2 found to catalyze heparosan synthesis using substrate analogs has been studied. In this paper, we report an efficient way to purify PmHS2 and to maintain its activity stable during 6 months storage at −80 °C using His-tag purification and a desalting step. In the presence of 1 mM of each nucleotide sugar, purified PmHS2 synthesized polymers up to an average molecular weight of 130 kDa. With 5 mM of UDP-GlcUA and 5 mM of UDP-GlcNAc, an optimal specific activity, from 3 to 6 h of incubation, was found to be about 0.145 nmol/μg/min, and polymers up to an average of 102 kDa were synthesized in 24 h. In this study, we show that the chain length distribution of heparosan polymers can be controlled by change of the initial nucleotide sugar concentration. It was observed that low substrate concentration favors the formation of high molecular weight heparosan polymer with a low polydispersity while high substrate concentration did the opposite. Similarities in the polymerization mechanism between PmHS2, PmHS1, and PmHAS are discussed

Improved one-pot multienzyme (OPME) systems for synthesizing UDP-uronic acids and glucuronides

Arabidopsis thaliana glucuronokinase (AtGlcAK) was cloned and shown to be able to use various uronic acids as substrates to produce the corresponding uronic acid-1-phosphates. AtGlcAK or Bifidobacterium infantis galactokinase (BiGalK) was used with a UDP-sugar pyrophosphorylase, an inorganic pyrophosphatase, with or without a glycosyltransferase for highly efficient synthesis of UDP-uronic acids and glucuronides. These improved cost-effective one-pot multienzyme (OPME) systems avoid the use of nicotinamide adenine dinucleotide (NAD(+))-cofactor in dehydrogenase-dependent UDP-glucuronic acid production processes and can be broadly applied for synthesizing various glucuronic acid-containing molecules