Literature DB >> 28174724

Not All Mice Are the Same: Standardization of Animal Research Data Presentation.

M Bishr Omary, David E Cohen, Emad M El-Omar, Rajiv Jalan, Malcolm J Low, Michael H Nathanson, Richard M Peek, Jerrold R Turner.   

Abstract

Entities:  

Year:  2016        PMID: 28174724      PMCID: PMC5042602          DOI: 10.1016/j.jcmgh.2016.04.001

Source DB:  PubMed          Journal:  Cell Mol Gastroenterol Hepatol        ISSN: 2352-345X


× No keyword cloud information.
As the editors of several journals, we have joined forces to highlight the importance of providing essential details related to animal experiments, particularly for studies that include mouse work. This is a critical issue that partially underlies the problem of irreproducible results that is attracting international attention as well as the attention of funding agencies such as the National Institutes of Health. For mouse studies, this can be a daunting problem given that many manuscripts do not provide sufficient details regarding the number of animals used for a given experiment, the sex of the animals, their age, and in some cases identification of the background genetic strains. Other variables that can also play an important role in shaping experimental findings and conclusions are the microbiome, making co-housing of control and genetically altered animals essential, diet, and even the composition of animal bedding. Several journals have supported the ARRIVE (Animal Research: Reporting of In Vivo Experiments) Guidelines that were originally proposed in 2010, which include an extensive checklist of information related to animal experiments that is considered essential to provide. However, it seems that the reporting standards may not have improved very much since initial presentation and acceptance of the guidelines by multiple journals. Several reasons may account for the observed ‘noncompliance’ with the ARRIVE guidelines, including difficulty ensuring that reviewers and editors carefully assess whether the guidelines have been followed, and the possibility that some authors may indicate that the guidelines have been followed (based on author interpretation and not because of any malintent) when in reality not all components have been pursued. Reviewers and editors frequently ask authors to expand on some of these necessary details, but the reviewers often focus on separate important issues while the specifics that are related to the mouse work may be overlooked. Another barrier might be the extensive nature of the ARRIVE checklist, which may not apply fully to many submitted manuscripts. This is relevant, because scientists (and physicians) are now facing an increasing barrage of regulatory documentation paperwork that is limiting their time for scientific investigation (or for their patients). Notwithstanding this limitation, we are uniting from different journals to highlight the importance of documenting what we consider to be the minimum list of information to improve transparency and the quality of data reporting. Our purpose is not to legislate a “one size fits all” philosophy, but rather to maximize the possibility of other researchers reproducing study findings from the same wild-type or mutant mouse strains. Our respective journals will be highlighting the criteria listed below in our Instructions to Authors, and some of our journals will also introduce an author-friendly checklist that will need to accompany manuscripts that use mice and other in vivo experimental models. The criteria that will be expected of authors include the following information (Figure 1):
Figure 1

Key elements to consider and highlight for mouse related studies. The schematic shows several important criteria that need to be considered when planning mouse (and other animal) experiments, and when submitting work for publication. FVB and C57BL/6 represent, as examples, commonly used mouse strains. Of note, vendor sources can also be important (eg, FVB/NJ from The Jackson Laboratory vs FVB/NTac from Taconic). Other considerations not displayed in the schematic, such as environment conditions, are highlighted in the text. +/+, wild-type littermate mice; -/-, knockout littermate mice.

Sex and age of mice (or other in vivo experimental models) for all the experiments; The genetic background(s) of the mice or other experimental in vivo models; For transgenic or genetic mouse models, whether the controls were sibling littermates or were purchased separately (if purchased separately, were the animals cohoused to minimize potential microbiome effects); Specifics of the animal diet composition; Whether mice were fasted (and for how long) or not before a challenge or assessment is carried out; Type of bedding, caging system, and enrichment used for housing the mice; and If interventions were done, were they done during the light or dark cycle. Power analyses can be useful to estimate appropriate sample sizes; however, the standard deviations for relevant dependent variables are often not known a priori. Therefore, it is critical that the number of animals for each experimental arm or condition is reported together with biological replication of statistically significant results derived from independent groups of animals. There are also other variables that may need to be considered that we have not included as primary expectations, particularly those related to behavior, stress, and growth conditions. These variables include acclimation to a new environment (eg, when animals are shipped by the vendor or moved from the animal facility to a procedure room), other environment effects (eg, temperature, humidity, noise), littermate size, and pheromone effects. These additional variables can be very important depending on the biologic readout. Moreover, environment effects, such as avoidance of large temperature changes unless approved as part of an animal protocol, are expected to be part of the normal procedures of humane treatment of animals. What can journals and research institutions do moving forward toward a path to implementation? Certainly all stakeholders need to be engaged and many funding agencies now expect that applicants pay closer attention to this important issue, as exemplified by the recent requirement from the National Institutes of Health to include a section titled Authentication of Key Biological and/or Chemical Resources in grant applications. For journals, setting and enforcing clear expectations to authors, reviewers, and editors will be essential, because a checklist alone will not be sufficient, while making the process as user-friendly as possible. For institutions, several approaches can be considered and implemented, that are aimed at investigators and trainees. For example, the curricula for students who are enrolled in bioscience-related undergraduate and graduate programs should include training not only in the ethics in conducting research, but also in the basic tenets of conducting and designing animal experiments. It is important for this to start early and to be reinforced as training advances. Similarly, postdoctoral fellows in biomedical disciplines should be expected to enroll in similar workshops that would be offered by their home institutions. For such workshops, centralized (rather than department- or unit-specific) oversight and administration will more likely ensure uniformity and implementation. We look forward to working together on this important effort and to receiving feedback from our authors, reviewers and readers.
  6 in total

1.  A mouse's house may ruin experiments.

Authors:  Sara Reardon
Journal:  Nature       Date:  2016-02-18       Impact factor: 49.962

2.  Effect of Corncob bedding on feed conversion efficiency in a high-fat diet-induced prediabetic model in C57Bl/6J mice.

Authors:  Ashley G Ambery; Lixuan Tackett; Brent A Penque; Debra L Hickman; Jeffrey S Elmendorf
Journal:  J Am Assoc Lab Anim Sci       Date:  2014-09       Impact factor: 1.232

3.  A call for transparent reporting to optimize the predictive value of preclinical research.

Authors:  Story C Landis; Susan G Amara; Khusru Asadullah; Chris P Austin; Robi Blumenstein; Eileen W Bradley; Ronald G Crystal; Robert B Darnell; Robert J Ferrante; Howard Fillit; Robert Finkelstein; Marc Fisher; Howard E Gendelman; Robert M Golub; John L Goudreau; Robert A Gross; Amelie K Gubitz; Sharon E Hesterlee; David W Howells; John Huguenard; Katrina Kelner; Walter Koroshetz; Dimitri Krainc; Stanley E Lazic; Michael S Levine; Malcolm R Macleod; John M McCall; Richard T Moxley; Kalyani Narasimhan; Linda J Noble; Steve Perrin; John D Porter; Oswald Steward; Ellis Unger; Ursula Utz; Shai D Silberberg
Journal:  Nature       Date:  2012-10-11       Impact factor: 49.962

4.  Policy: NIH plans to enhance reproducibility.

Authors:  Francis S Collins; Lawrence A Tabak
Journal:  Nature       Date:  2014-01-30       Impact factor: 49.962

5.  Two years later: journals are not yet enforcing the ARRIVE guidelines on reporting standards for pre-clinical animal studies.

Authors:  David Baker; Katie Lidster; Ana Sottomayor; Sandra Amor
Journal:  PLoS Biol       Date:  2014-01-07       Impact factor: 8.029

Review 6.  Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design.

Authors:  Debby Laukens; Brigitta M Brinkman; Jeroen Raes; Martine De Vos; Peter Vandenabeele
Journal:  FEMS Microbiol Rev       Date:  2015-08-30       Impact factor: 16.408

  6 in total
  6 in total

Review 1.  The gut microbiome as a target for adjuvant therapy in obstructive sleep apnea.

Authors:  Mohammad Badran; Saif Mashaqi; David Gozal
Journal:  Expert Opin Ther Targets       Date:  2020-12-04       Impact factor: 6.797

2.  AbobotulinumtoxinA (Dysport®), OnabotulinumtoxinA (Botox®), and IncobotulinumtoxinA (Xeomin®) Neurotoxin Content and Potential Implications for Duration of Response in Patients.

Authors:  Malgorzata Field; Andrew Splevins; Philippe Picaut; Marcel van der Schans; Jan Langenberg; Daan Noort; Keith Foster
Journal:  Toxins (Basel)       Date:  2018-12-13       Impact factor: 4.546

3.  Intestinal Microbiota and Serum Metabolic Profile Responded to Two Nutritional Different Diets in Mice.

Authors:  Zhifeng Wu; Wei Cheng; Zhenyu Wang; Shuaifei Feng; Huicong Zou; Xiang Tan; Yapeng Yang; Yuqing Wang; Hang Zhang; Miaomiao Dong; Yingping Xiao; Shiyu Tao; Hong Wei
Journal:  Front Nutr       Date:  2022-01-05

4.  Characteristics of gut microbiota in representative mice strains: Implications for biological research.

Authors:  Jianguo Guo; Chenchen Song; Yunbo Liu; Xuying Wu; Wei Dong; Hua Zhu; Zhiguang Xiang; Chuan Qin
Journal:  Animal Model Exp Med       Date:  2022-07-26

Review 5.  Involvement of gut microbiome in human health and disease: brief overview, knowledge gaps and research opportunities.

Authors:  Dachao Liang; Ross Ka-Kit Leung; Wenda Guan; William W Au
Journal:  Gut Pathog       Date:  2018-01-25       Impact factor: 4.181

6.  Systematic review of guidelines for internal validity in the design, conduct and analysis of preclinical biomedical experiments involving laboratory animals.

Authors:  Jan Vollert; Esther Schenker; Malcolm Macleod; Anton Bespalov; Hanno Wuerbel; Martin Michel; Ulrich Dirnagl; Heidrun Potschka; Ann-Marie Waldron; Kimberley Wever; Thomas Steckler; Tom van de Casteele; Bruce Altevogt; Annesha Sil; Andrew S C Rice
Journal:  BMJ Open Sci       Date:  2020-04-15
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.