Methods for the Comprehensive in vivo Analysis of Energy Flux, Fluid Homeostasis, Blood Pressure, and Ventilatory Function in Rodents.
Methods for the Comprehensive in vivo Analysis of Energy Flux, Fluid Homeostasis, Blood Pressure, and Ventilatory Function in Rodents.
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DOI:
10.3389/fphys.2022.855054
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发表时间:
2022
影响因子:
4
通讯作者:
Grobe JL
中科院分区:
文献类型:
--
作者:
Reho JJ;Nakagawa P;Mouradian GC Jr;Grobe CC;Saravia FL;Burnett CML;Kwitek AE;Kirby JR;Segar JL;Hodges MR;Sigmund CD;Grobe JL
Cardiovascular disease represents the leading cause of death in the United States, and metabolic diseases such as obesity represent the primary impediment to improving cardiovascular health. Rodent (mouse and rat) models are widely used to model cardiometabolic disease, and as a result, there is increasing interest in the development of accurate and precise methodologies with sufficiently high resolution to dissect mechanisms controlling cardiometabolic physiology in these small organisms. Further, there is great utility in the development of centralized core facilities furnished with high-throughput equipment configurations and staffed with professional content experts to guide investigators and ensure the rigor and reproducibility of experimental endeavors. Here, we outline the array of specialized equipment and approaches that are employed within the Comprehensive Rodent Metabolic Phenotyping Core (CRMPC) and our collaborating laboratories within the Departments of Physiology, Pediatrics, Microbiology & Immunology, and Biomedical Engineering at the Medical College of Wisconsin (MCW), for the detailed mechanistic dissection of cardiometabolic function in mice and rats. We highlight selected methods for the analysis of body composition and fluid compartmentalization, electrolyte accumulation and flux, energy accumulation and flux, physical activity, ingestive behaviors, ventilatory function, blood pressure, heart rate, autonomic function, and assessment and manipulation of the gut microbiota. Further, we include discussion of the advantages and disadvantages of these approaches for their use with rodent models, and considerations for experimental designs using these methods.
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影响因子:
11.1
作者:
Bahr SM;Weidemann BJ;Castro AN;Walsh JW;deLeon O;Burnett CM;Pearson NA;Murry DJ;Grobe JL;Kirby JR
通讯作者:
Kirby JR
影响因子:
6.3
作者:
Abais-Battad, Justine M.;Saravia, Fatima L.;Lund, Hayley;Dasinger, John Henry;Fehrenbach, Daniel J.;Alsheikh, Ammar J.;Zemaj, Jeylan;Kirby, John R.;Mattson, David L.
通讯作者:
Mattson, David L.
影响因子:
37.8
作者:
Angell SY;McConnell MV;Anderson CAM;Bibbins-Domingo K;Boyle DS;Capewell S;Ezzati M;de Ferranti S;Gaskin DJ;Goetzel RZ;Huffman MD;Jones M;Khan YM;Kim S;Kumanyika SK;McCray AT;Merritt RK;Milstein B;Mozaffarian D;Norris T;Roth GA;Sacco RL;Saucedo JF;Shay CM;Siedzik D;Saha S;Warner JJ
通讯作者:
Warner JJ
DOI:
10.1093/oso/9780198830399.001.0001
发表时间:
2019-01-01
期刊:
MEASURING METABOLIC RATES: A MANUAL FOR SCIENTISTS, 2ND EDITION
影响因子:
--
作者:
Lighton, J. R. B.
通讯作者:
Lighton, J. R. B.
影响因子:
5.5
作者:
Mouradian, Gary C., Jr.;Forster, Hubert V.;Hodges, Matthew R.
通讯作者:
Hodges, Matthew R.