<p>Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data repository built on shared standards. This overdue initiative stands to markedly improve the accuracy and depth of efforts to interrogate mammalian metabolism. Data sharing according to established best practices will also accelerate the translation of basic findings into clinical applications for metabolic diseases afflicting global populations.</p>

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A consensus guide to preclinical indirect calorimetry experiments

  • Alexander S. Banks,
  • David B. Allison,
  • Thierry Alquier,
  • Ansarullah,
  • Steven N. Austad,
  • Johan Auwerx,
  • Julio E. Ayala,
  • Joseph A. Baur,
  • Stefania Carobbio,
  • Gary A. Churchill,
  • Morten Dall,
  • Rafael de Cabo,
  • Jose Donato Jr.,
  • Nathalia R. V. Dragano,
  • Carol F. Elias,
  • Anthony W. Ferrante Jr.,
  • Brian N. Finck,
  • Jose E. Galgani,
  • Zachary Gerhart-Hines,
  • Laurie J. Goodyear,
  • Justin L. Grobe,
  • Rana K. Gupta,
  • Kirk M. Habegger,
  • Sean M. Hartig,
  • Andrea L. Hevener,
  • Steven B. Heymsfield,
  • Corey D. Holman,
  • Martin Hrabě de Angelis,
  • David E. James,
  • Lawrence Kazak,
  • Jae Bum Kim,
  • Martin Klingenspor,
  • Xingxing Kong,
  • Sander Kooijman,
  • Louise Lantier,
  • K. C. Kent Lloyd,
  • James C. Lo,
  • Irfan J. Lodhi,
  • Paul S. MacLean,
  • Owen P. McGuinness,
  • Gema Medina-Gómez,
  • Raghavendra G. Mirmira,
  • Christopher D. Morrison,
  • Gregory J. Morton,
  • Timo D. Müller,
  • Yoshihiro Ogawa,
  • David Pajuelo-Reguera,
  • Matthew J. Potthoff,
  • Nathan Qi,
  • Marc L. Reitman,
  • Patrick C. N. Rensen,
  • Jan Rozman,
  • Jennifer M. Rutkowsky,
  • Kei Sakamoto,
  • Philipp E. Scherer,
  • Gary J. Schwartz,
  • Radislav Sedlacek,
  • Mohammed Selloum,
  • Saame Raza Shaikh,
  • Shuai Chen,
  • Gerald I. Shulman,
  • Vojtěch Škop,
  • Alexander A. Soukas,
  • John R. Speakman,
  • Bruce M. Spiegelman,
  • Gregory R. Steinberg,
  • Katrin J. Svensson,
  • John P. Thyfault,
  • Tony Tiganis,
  • Paul M. Titchenell,
  • Nigel Turner,
  • Licio A. Velloso,
  • Antonio Vidal-Puig,
  • Christopher S. Ward,
  • Ashley S. Williams,
  • Christian Wolfrum,
  • Allison W. Xu,
  • Ying Xu,
  • Juleen R. Zierath

摘要

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data repository built on shared standards. This overdue initiative stands to markedly improve the accuracy and depth of efforts to interrogate mammalian metabolism. Data sharing according to established best practices will also accelerate the translation of basic findings into clinical applications for metabolic diseases afflicting global populations.