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As emerging clinical analyses suggest an increased risk of new-onset diabetes following COVID-19, a causal link and underlying mechanisms are yet to be established. Persistence of hyperglycaemia after disease regression and the potential infection of non-pancreatic tissue are adding another layer of complexity to the relationship between COVID-19 and diabetes mellitus.
In metabolic studies using rodents, body weight and food intake measurements seem easy to obtain, but several potential pitfalls can lead to erroneous data generation and interpretation. This Comment raises awareness of key conceptual and technical aspects that can increase the quality and reproducibility of this type of data.
The rapid increase in lipidomic data has triggered a community-based movement to develop guidelines and minimum requirements for generating, reporting and publishing lipidomic data. The creation of a dynamic checklist summarizing key details of lipidomic analyses using a common language has the potential to harmonize the field by improving both traceability and reproducibility.
Glucose clamps are challenging to conduct in mice and experimental approaches vary between laboratories, which complicates data interpretation and comparison of results. Here, we highlight key methodological differences and propose reporting standards for glucose clamps.
Coronavirus replication results in expenditure of nicotinamide adenine dinucleotide (NAD+), the central catalyst of cellular metabolism, in the innate response to infection. Repletion of NAD+ levels has the potential to enhance antiviral responses.
