RT Journal Article
SR Electronic
T1 Understanding artificial mouse-microbiome heterogeneity and six actionable themes to increase study power
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 778043
DO 10.1101/778043
A1 Abigail R Basson
A1 Alexandria LaSalla
A1 Gretchen Lam
A1 Danielle Kulpins
A1 Erika L Moen
A1 Mark Sundrud
A1 Jun Miyoshi
A1 Sanja Ilic
A1 Betty R Theriault
A1 Fabio Cominelli
A1 Alexander Rodriguez-Palacios
YR 2019
UL http://biorxiv.org/content/early/2019/09/25/778043.abstract
AB The negative effects of data clustering due to (intra-class/spatial) correlations are well-known in statistics to interfere with interpretation and study power. Therefore, it is unclear why housing many laboratory mice (≥4), instead of one-or-two per cage, with the improper use/reporting of clustered-data statistics, abound in the literature. Among other sources of ‘artificial’ confounding, including cyclical oscillations of the ‘cage microbiome’, we quantified the heterogeneity of modern husbandry practices/perceptions. The objective was to identify actionable themes to re-launch emerging protocols and intuitive statistical strategies to increase study power. Amenable for interventions, ‘cost-vs-science’ discordance was a major aspect explaining heterogeneity and the reluctance to change. Combined, four sources of information (scoping-reviews, professional-surveys, expert-opinion, and ‘implementability-score-statistics’) indicate that a six-actionable-theme framework could minimize ‘artificial’ heterogeneity. With a ‘Housing Density Cost Simulator’ in Excel and fully annotated statistical examples, this framework could reignite the use of ‘study power’ to monitor the success/reproducibility of mouse-microbiome studies.AALASAmerican Association of Laboratory Animal Science;DDRCCDigestive Diseases Research Core Center;GFgerm-free;ICCintra-class correlation coefficient;IsPreFeHInter-subject Pre-experimental Fecal Microbiota homogenization;MxCgmice per cage;MxGrmice per group;TCgxGrtotal cages per group.