How stra(i)nge are your controls? A comparative analysis of metabolic phenotypes in commonly used C57BL/6 substrains

Annesha Sil* (Corresponding Author), Marina Souza Matos, Mirela Delibegovic, Bettina Platt

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years, insufficiently characterised controls have been a contributing factor to irreproducibility in biomedical research including neuroscience and metabolism. There is now a growing awareness of phenotypic differences between the C57BL/6 substrains which are commonly used as control animals. We here investigated baseline metabolic characteristics such as glucose regulation, fasted serum insulin levels and hepatic insulin signalling in five different C57BL/6 substrains (N, J, JOla, JRcc) of both sexes, obtained from two commercial vendors, Charles River Laboratories (Crl) and Envigo (Env). Our results indicate systematic and tissue-specific differences between substrains, affected by both vendor and sex, in all parameters investigated, and not necessarily mediated by the presence of the NntC57BL/6J mutation. Not only were there differences between 6J and 6N as expected, all three 6J substrains exhibited different profiles, even from the same breeder. Two distinct metabolic profiles were identified, one in which low insulin levels resulted in impaired glucose clearance (6JCrl; both sexes) and the other, where sustained elevations in fasted basal insulin levels led to glucose intolerance (male 6JRccEnv). Further, 6JRccEnv displayed sex differences in both glucose clearance and hepatic insulin signalling markers. In comparison, the two 6N substrains of either sex, irrespective of vendor, did not exhibit considerable differences, with 6NCrl animals presenting a good choice as a healthy baseline ‘control’ for many types of experiments. Overall, our data emphasise the importance of selecting and characterising control subjects regarding background, sex, and supplier to ensure proper experimental outcomes in biomedical research
Original languageEnglish
Article number e0289472
Number of pages15
JournalPloS ONE
Volume18
Issue number8
Early online date2 Aug 2023
DOIs
Publication statusPublished - 2 Aug 2023

Bibliographical note

Open Access via the PLOS Agreement
Funding: The authors received no specific funding for this work.

Data Availability Statement

All relevant data are within the paper and its Supporting Information files. All raw data pertaining to this paper can be found in the Supporting Information files and are stored according to Institutional guidelines.

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