| Title | A consensus guide to preclinical indirect calorimetry experiments. |
| Publication Type | Journal Article |
| Year of Publication | 2025 |
| Authors | Banks AS, Allison DB, Alquier T, Austad SN, Auwerx J, Ayala JE, Baur JA, Carobbio S, Churchill GA, Dall M, de Cabo R, Donato J, Dragano NRV, Elias CF, Ferrante AW, Finck BN, Galgani JE, Gerhart-Hines Z, Goodyear LJ, Grobe JL, Gupta RK, Habegger KM, Hartig SM, Hevener AL, Heymsfield SB, Holman CD, de Angelis MHrabě, James DE, Kazak L, Kim JBum, Klingenspor M, Kong X, Kooijman S, Lantier L, Lloyd KCKent, Lo JC, Lodhi IJ, MacLean PS, McGuinness OP, Medina-Gómez G, Mirmira RG, Morrison CD, Morton GJ, Müller TD, Ogawa Y, Pajuelo-Reguera D, Potthoff MJ, Qi N, Reitman ML, Rensen PCN, Rozman J, Rutkowsky JM, Sakamoto K, Scherer PE, Schwartz GJ, Sedlacek R, Selloum M, Shaikh SRaza, Chen S, Shulman GI, Škop V, Soukas AA, Speakman JR, Spiegelman BM, Steinberg GR, Svensson KJ, Thyfault JP, Tiganis T, Titchenell PM, Turner N, Velloso LA, Vidal-Puig A, Ward CS, Williams AS, Wolfrum C, Xu AW, Xu Y, Zierath JR |
| Corporate Authors | International Indirect Calorimetry Consensus Committee(IICCC) |
| Journal | Nat Metab |
| Volume | 7 |
| Issue | 9 |
| Pagination | 1765-1780 |
| Date Published | 2025 Sep |
| ISSN | 2522-5812 |
| Keywords | Animals, Calorimetry, Indirect, Consensus, Energy Metabolism, Humans |
| Abstract | 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. |
| DOI | 10.1038/s42255-025-01360-4 |
| Alternate Journal | Nat Metab |
| PubMed ID | 40993210 |
| PubMed Central ID | 3216615 |
| Grant List | P30 DK116074 / DK / NIDDK NIH HHS / United States R01 DK125260 / DK / NIDDK NIH HHS / United States |
