Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization. / Bondarenko, Valeriia; Lokke, Cecillie Reynolds; Dobrowolski, Peter; Mentzel, Caroline Junker; Castro-Mejia, Josue L.; Hansen, Camilla Hartmann Friis; Sorensen, Dorte Bratbo; Nielsen, Dennis Sandris; Krych, Lukasz; Hansen, Axel Kornerup.

In: Scientific Reports, Vol. 12, 13767, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bondarenko, V, Lokke, CR, Dobrowolski, P, Mentzel, CJ, Castro-Mejia, JL, Hansen, CHF, Sorensen, DB, Nielsen, DS, Krych, L & Hansen, AK 2022, 'Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization', Scientific Reports, vol. 12, 13767. https://doi.org/10.1038/s41598-022-17242-8

APA

Bondarenko, V., Lokke, C. R., Dobrowolski, P., Mentzel, C. J., Castro-Mejia, J. L., Hansen, C. H. F., Sorensen, D. B., Nielsen, D. S., Krych, L., & Hansen, A. K. (2022). Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization. Scientific Reports, 12, [13767]. https://doi.org/10.1038/s41598-022-17242-8

Vancouver

Bondarenko V, Lokke CR, Dobrowolski P, Mentzel CJ, Castro-Mejia JL, Hansen CHF et al. Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization. Scientific Reports. 2022;12. 13767. https://doi.org/10.1038/s41598-022-17242-8

Author

Bondarenko, Valeriia ; Lokke, Cecillie Reynolds ; Dobrowolski, Peter ; Mentzel, Caroline Junker ; Castro-Mejia, Josue L. ; Hansen, Camilla Hartmann Friis ; Sorensen, Dorte Bratbo ; Nielsen, Dennis Sandris ; Krych, Lukasz ; Hansen, Axel Kornerup. / Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization. In: Scientific Reports. 2022 ; Vol. 12.

Bibtex

@article{b9c330011ce94e2ca1d783423da26b2e,
title = "Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization",
abstract = "Group sizes in an animal study are calculated from estimates on variation, effect, power and significance level. Much of the variation in glucose related parameters of the diet-induced obese (DIO) mouse model is due to inter-individual variation in gut microbiota composition. In addition, standard tandem repeats (STRs) in the non-coding DNA shows that inbred mice are not always homogenic. C57BL/6NTac (B6NTac) mice from Taconic and C57BL/6NRj (B6NRj) mice from Janvier Labs were fed a high calorie diet and treated with liraglutide. The fecal microbiota was sequenced before high-calorie feeding (time 1) and after diet-induced obesity instantly before liraglutide treatment (time 2) and mice were divided into clusters on the basis of their microbiota. Although liraglutide in both sub-strains alleviated glucose intolerance and reduced body weight, in a one-way ANOVA a borderline reduction in glycosylated hemoglobin (HbA1c) could only be shown in B6NTac mice. However, if the microbiota clusters from time 1 or time 2 were incorporated in a two-way ANOVA, the HbA1c effect was significant in B6NTac mice in both analyses, while this did not change anything in B6NRj mice. In a one-way ANOVA the estimated group size needed for a significant HbA1c effect in B6NTac mice was 42, but in two-way ANOVAs based upon microbiota clusters of time 1 or time 2 it was reduced to 21 or 12, respectively. The lowering impact on glucose tolerance was also powered by incorporation of microbiota clusters of both times in both sub-strains. B6NRj had up to six, while B6NTac had maximum three alleles in some of their STRs. In B6NRj mice in 28.8% of the STRs the most prevalent allele had a gene frequency less than 90%, while this was only 6.6% in the B6NTac mice. However, incorporation of the STRs with the highest number of alleles or the most even distribution of frequencies in two-way ANOVAs only had little impact on the outcome of data evaluation. It is concluded that the inclusion of microbiota clusters in a two-way ANOVA in the evaluation of the glucose related effects of an intervention in the DIO mouse model might be an efficient tool for increasing power and reducing group sizes in mouse sub-strains, if these have a microbiota, which influences these parameters.",
keywords = "GUT MICROBIOTA, AKKERMANSIA-MUCINIPHILA, ANIMAL-MODELS, STANDARDIZATION, REPRODUCIBILITY, BEHAVIOR, MICE",
author = "Valeriia Bondarenko and Lokke, {Cecillie Reynolds} and Peter Dobrowolski and Mentzel, {Caroline Junker} and Castro-Mejia, {Josue L.} and Hansen, {Camilla Hartmann Friis} and Sorensen, {Dorte Bratbo} and Nielsen, {Dennis Sandris} and Lukasz Krych and Hansen, {Axel Kornerup}",
year = "2022",
doi = "10.1038/s41598-022-17242-8",
language = "English",
volume = "12",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Controlling the uncontrolled variation in the diet induced obese mouse by microbiomic characterization

AU - Bondarenko, Valeriia

AU - Lokke, Cecillie Reynolds

AU - Dobrowolski, Peter

AU - Mentzel, Caroline Junker

AU - Castro-Mejia, Josue L.

AU - Hansen, Camilla Hartmann Friis

AU - Sorensen, Dorte Bratbo

AU - Nielsen, Dennis Sandris

AU - Krych, Lukasz

AU - Hansen, Axel Kornerup

PY - 2022

Y1 - 2022

N2 - Group sizes in an animal study are calculated from estimates on variation, effect, power and significance level. Much of the variation in glucose related parameters of the diet-induced obese (DIO) mouse model is due to inter-individual variation in gut microbiota composition. In addition, standard tandem repeats (STRs) in the non-coding DNA shows that inbred mice are not always homogenic. C57BL/6NTac (B6NTac) mice from Taconic and C57BL/6NRj (B6NRj) mice from Janvier Labs were fed a high calorie diet and treated with liraglutide. The fecal microbiota was sequenced before high-calorie feeding (time 1) and after diet-induced obesity instantly before liraglutide treatment (time 2) and mice were divided into clusters on the basis of their microbiota. Although liraglutide in both sub-strains alleviated glucose intolerance and reduced body weight, in a one-way ANOVA a borderline reduction in glycosylated hemoglobin (HbA1c) could only be shown in B6NTac mice. However, if the microbiota clusters from time 1 or time 2 were incorporated in a two-way ANOVA, the HbA1c effect was significant in B6NTac mice in both analyses, while this did not change anything in B6NRj mice. In a one-way ANOVA the estimated group size needed for a significant HbA1c effect in B6NTac mice was 42, but in two-way ANOVAs based upon microbiota clusters of time 1 or time 2 it was reduced to 21 or 12, respectively. The lowering impact on glucose tolerance was also powered by incorporation of microbiota clusters of both times in both sub-strains. B6NRj had up to six, while B6NTac had maximum three alleles in some of their STRs. In B6NRj mice in 28.8% of the STRs the most prevalent allele had a gene frequency less than 90%, while this was only 6.6% in the B6NTac mice. However, incorporation of the STRs with the highest number of alleles or the most even distribution of frequencies in two-way ANOVAs only had little impact on the outcome of data evaluation. It is concluded that the inclusion of microbiota clusters in a two-way ANOVA in the evaluation of the glucose related effects of an intervention in the DIO mouse model might be an efficient tool for increasing power and reducing group sizes in mouse sub-strains, if these have a microbiota, which influences these parameters.

AB - Group sizes in an animal study are calculated from estimates on variation, effect, power and significance level. Much of the variation in glucose related parameters of the diet-induced obese (DIO) mouse model is due to inter-individual variation in gut microbiota composition. In addition, standard tandem repeats (STRs) in the non-coding DNA shows that inbred mice are not always homogenic. C57BL/6NTac (B6NTac) mice from Taconic and C57BL/6NRj (B6NRj) mice from Janvier Labs were fed a high calorie diet and treated with liraglutide. The fecal microbiota was sequenced before high-calorie feeding (time 1) and after diet-induced obesity instantly before liraglutide treatment (time 2) and mice were divided into clusters on the basis of their microbiota. Although liraglutide in both sub-strains alleviated glucose intolerance and reduced body weight, in a one-way ANOVA a borderline reduction in glycosylated hemoglobin (HbA1c) could only be shown in B6NTac mice. However, if the microbiota clusters from time 1 or time 2 were incorporated in a two-way ANOVA, the HbA1c effect was significant in B6NTac mice in both analyses, while this did not change anything in B6NRj mice. In a one-way ANOVA the estimated group size needed for a significant HbA1c effect in B6NTac mice was 42, but in two-way ANOVAs based upon microbiota clusters of time 1 or time 2 it was reduced to 21 or 12, respectively. The lowering impact on glucose tolerance was also powered by incorporation of microbiota clusters of both times in both sub-strains. B6NRj had up to six, while B6NTac had maximum three alleles in some of their STRs. In B6NRj mice in 28.8% of the STRs the most prevalent allele had a gene frequency less than 90%, while this was only 6.6% in the B6NTac mice. However, incorporation of the STRs with the highest number of alleles or the most even distribution of frequencies in two-way ANOVAs only had little impact on the outcome of data evaluation. It is concluded that the inclusion of microbiota clusters in a two-way ANOVA in the evaluation of the glucose related effects of an intervention in the DIO mouse model might be an efficient tool for increasing power and reducing group sizes in mouse sub-strains, if these have a microbiota, which influences these parameters.

KW - GUT MICROBIOTA

KW - AKKERMANSIA-MUCINIPHILA

KW - ANIMAL-MODELS

KW - STANDARDIZATION

KW - REPRODUCIBILITY

KW - BEHAVIOR

KW - MICE

U2 - 10.1038/s41598-022-17242-8

DO - 10.1038/s41598-022-17242-8

M3 - Journal article

C2 - 35962158

VL - 12

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 13767

ER -

ID: 319408172