Introducing quality measures in an academic research consortium: Lessons and recommendation from implementing an ad hoc quality management system for organ model research

Lessons from implementing quality control systems in an academic research consortium to improve Good Scientific Practice and reproducibility. Subject Categories: Microbiology, Virology & Host Pathogen Interaction, Science Policy & Publishing

Low reproducibility rates within biomedical research negatively impact productivity and translation. One promising approach to enhance the transfer of robust results from preclinical research into clinically relevant and transferable data is the systematic implementation of quality measures in daily laboratory routines.

Although many universities expect their scientists to adhere to GSPs, they often neither systematically support, nor monitor the quality of their research activities.

Today''s fast‐evolving research environment needs effective quality measures to ensure reproducibility and data integrity (Macleod et al, ²⁰¹⁴; Begley et al, ²⁰¹⁵; Begley & Ioannidis, ²⁰¹⁵; Baker, ²⁰¹⁶). Academic research institutions and laboratories may be as committed to good scientific practices (GSPs) as their counterparts in the biotech and pharmaceutical industry but operate largely without clearly defined standards (Bespalov et al, ²⁰²¹; Emmerich et al, ²⁰²¹). Although many universities expect their scientists to adhere to GSPs, they often neither systematically support, nor monitor the quality of their research activities. Peer review of publications is still regarded as the primary validation of quality control in academic research. However, reviewers only assess work after it has been performed—often over years—and interventions in the experimental process are thus no longer possible.The reasons for the lack of dedicated quality management (QM) implementations in academic laboratories include an anticipated overload of regulatory tasks that could negatively affect productivity, concerns about the loss of scientific freedom, and importantly, limited resources in academia and academic funding schemes.     

Preclinical Pharmacokinetic Studies of the Tritium Labelled D-Enantiomeric Peptide D3 Developed for the Treatment of Alzheimer′s Disease

Targeting toxic amyloid beta (Aβ) oligomers is currently a very attractive drug development strategy for treatment of Alzheimer´s disease. Using mirror-image phage display against Aβ1-42, we have previously identified the fully D-enantiomeric peptide D3, which is able to eliminate Aβ oligomers and has proven therapeutic potential in transgenic Alzheimer´s disease animal models. However, there is little information on the pharmacokinetic behaviour of D-enantiomeric peptides in general. Therefore, we conducted experiments with the tritium labelled D-peptide D3 (³H-D3) in mice with different administration routes to study its distribution in liver, kidney, brain, plasma and gastrointestinal tract, as well as its bioavailability by i.p. and p.o. administration. In addition, we investigated the metabolic stability in liver microsomes, mouse plasma, brain, liver and kidney homogenates, and estimated the plasma protein binding. Based on its high stability and long biological half-life, our pharmacokinetic results support the therapeutic potential of D-peptides in general, with D3 being a new promising drug candidate for Alzheimer´s disease treatment.     

Localisation génétique et caractérisation biochimique de mutations affectant le gène de structure de l'hydrolyase altronique chez Escherichia coli K 12

Molecular Genetics and Genomics - Mutants of E. coli specifically deficient for the enzyme altronic hydrolyase have been isolated. These strains are unable to metabolize galacturonate but still...     

Effects of heating on growth and condition of pikeperch (Lucioperca lucioperca) in lowland ponds created by sand extraction

The growth rates of pikeperch (Lucioperca lucioperca L.) originating from two lowlands ponds in the north of Belgium, one of which is heated by the effluents of power plants, were compared by means of scalimetry and operculometry. The overall condition of the fish in both ponds was also investigated. The pikeperch grew significantly faster in heated water, although overall condition was comparable. Seasonal variations resulted in the heated pond arriving at a temperature higher than the optimum.     

Reference Cluster Normalization Improves Detection of Frontotemporal Lobar Degeneration by Means of FDG-PET

Positron emission tomography with [18F] fluorodeoxyglucose (FDG-PET) plays a well-established role in assisting early detection of frontotemporal lobar degeneration (FTLD). Here, we examined the impact of intensity normalization to different reference areas on accuracy of FDG-PET to discriminate between patients with mild FTLD and healthy elderly subjects. FDG-PET was conducted at two centers using different acquisition protocols: 41 FTLD patients and 42 controls were studied at center 1, 11 FTLD patients and 13 controls were studied at center 2. All PET images were intensity normalized to the cerebellum, primary sensorimotor cortex (SMC), cerebral global mean (CGM), and a reference cluster with most preserved FDG uptake in the aforementioned patients group of center 1. Metabolic deficits in the patient group at center 1 appeared 1.5, 3.6, and 4.6 times greater in spatial extent, when tracer uptake was normalized to the reference cluster rather than to the cerebellum, SMC, and CGM, respectively. Logistic regression analyses based on normalized values from FTLD-typical regions showed that at center 1, cerebellar, SMC, CGM, and cluster normalizations differentiated patients from controls with accuracies of 86%, 76%, 75% and 90%, respectively. A similar order of effects was found at center 2. Cluster normalization leads to a significant increase of statistical power in detecting early FTLD-associated metabolic deficits. The established FTLD-specific cluster can be used to improve detection of FTLD on a single case basis at independent centers – a decisive step towards early diagnosis and prediction of FTLD syndromes enabling specific therapies in the future.