Literature DB >> 28348457

Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, Ictalurus punctatus.

Maria S Johnson1, Randall J Watts2, Hugh S Hammer3, Tim R Nagy1, Stephen A Watts2.   

Abstract

Dual-energy X-ray absorptiometry (DXA) provides a noninvasive way to determine lean tissue mass (LTM), fat mass (FM), bone mineral content (BMC), and bone mineral density (BMD) in humans and small mammals. Live channel catfish (n=74, 78g - 1200 g) were anesthetized and scanned in both a lateral position and a dorsa-ventral position. Six individual fish (300g - 600g) were scanned five times each to determine precision by the coefficient of variation. Precision was good for LTM (0.75-1.06%) and for BMC and BMD (2-2.6%). Precision for FM was not good (27-34%), which was due to the very low FM (0-1g) recorded by the DXA. However, using the predicted values, FM precision improved to 5-5.5%. DXA values for LTM, FM, and BMC were significantly different from chemical analysis (P< 0.001). DXA overestimated LTM and underestimated FM and BMC. However, all three compartments were strongly correlated with carcass values (P <0.0001). Using the prediction equations and the jackknife procedure, predicted values of LTM, FM, and BMC were not significantly different from the carcass values (P >0.05). DXA may also be a valuable tool for evaluating body condition longitudinally in commercial or in threatened or endangered fish species, where non-invasive procedures would be invaluable.

Entities:  

Year:  2016        PMID: 28348457      PMCID: PMC5365081          DOI: 10.1111/jwas.12324

Source DB:  PubMed          Journal:  J World Aquac Soc        ISSN: 0893-8849            Impact factor:   2.512


  10 in total

1.  Validation of dual energy X-ray absorptiometry (DXA) by comparison with chemical analysis of dogs and cats.

Authors:  J R Speakman; D Booles; R Butterwick
Journal:  Int J Obes Relat Metab Disord       Date:  2001-03

2.  Non-invasive measure of body composition of snakes using dual-energy X-ray absorptiometry.

Authors:  Stephen M Secor; Tim R Nagy
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  2003-10       Impact factor: 2.320

3.  Measuring fat mass in small birds by dual-energy x-ray absorptiometry.

Authors:  Carmi Korine; Shai Daniel; Ian G van Tets; Reuven Yosef; Berry Pinshow
Journal:  Physiol Biochem Zool       Date:  2004 May-Jun       Impact factor: 2.247

4.  Validation of dual-energy x-ray absorptiometry for determining in vivo body composition of chickens.

Authors:  Q Swennen; G P J Janssens; R Geers; E Decuypere; J Buyse
Journal:  Poult Sci       Date:  2004-08       Impact factor: 3.352

5.  Body composition analysis of chickens by dual energy x-ray absorptiometry.

Authors:  A D Mitchell; R W Rosebrough; J M Conway
Journal:  Poult Sci       Date:  1997-12       Impact factor: 3.352

6.  Body composition in a seasonal model of obesity: longitudinal measures and validation of DXA.

Authors:  Heather L Hunter; Tim R Nagy
Journal:  Obes Res       Date:  2002-11

7.  Validation of peripheral dual-energy X-ray absorptiometry for the measurement of bone mineral in intact and excised long bones of rats.

Authors:  T R Nagy; C W Prince; J Li
Journal:  J Bone Miner Res       Date:  2001-09       Impact factor: 6.741

8.  Evaluation of ultrasound imagery and body shape to predict carcass and fillet yield in farm-raised catfish.

Authors:  B G Bosworth; M Holland; B L Brazil
Journal:  J Anim Sci       Date:  2001-06       Impact factor: 3.159

9.  Precision and accuracy of dual-energy X-ray absorptiometry for determining in vivo body composition of mice.

Authors:  T R Nagy; A L Clair
Journal:  Obes Res       Date:  2000-08

10.  Dual-energy X-ray absorptiometry (DXA) can accurately and nondestructively measure the body composition of small, free-living rodents.

Authors:  Kalb T Stevenson; Ian G van Tets
Journal:  Physiol Biochem Zool       Date:  2008 May-Jun       Impact factor: 2.247

  10 in total
  2 in total

Review 1.  University of Alabama at Birmingham Nathan Shock Center: comparative energetics of aging.

Authors:  Steven N Austad; Thomas W Buford; David B Allison; Scott W Ballinger; Andrew W Brown; Christy S Carter; Victor M Darley-Usmar; John L Hartman; Timothy R Nagy; Daniel L Smith; Liou Sun; Jianhua Zhang
Journal:  Geroscience       Date:  2021-07-25       Impact factor: 7.713

2.  Morphometric parameters predict body fat proportions in common hamsters.

Authors:  Carina Siutz; Thomas Ruf; Stefanie Monecke; Eva Millesi
Journal:  J Mammal       Date:  2021-11-25       Impact factor: 2.416

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.