Literature DB >> 34725027

Point-of-Care Glucose and Lipid Profile Measures Using a Human Point-of-Care Device in Mouse Models of Type 2 Diabetes Mellitus, Aging, and Alzheimer Disease.

Brendan J Smyth1, Rachel S Polaski2, Anton Safer3, Flint A Boettcher1, Dawn Konrad-Martin2, Michael Anne Gratton1.   

Abstract

A point-of-care (POC) device to measure mouse glucose and lipid profiles is an important unmet need for cost-effective, immediate decision making in research. We compared metabolic analyte profiles obtained using a human clinical POC device with those from a veterinary laboratory chemical analyzer (LCA). Unfasted terminal blood samples were obtained by cardiac puncture from C57Bl/6J mice used in a diet-induced obesity model of type 2 diabetes mellitus; age-matched C57Bl/6J controls; a transgenic mouse model of Alzheimer's disease on a C57BL/6J background (16 wk old); and aged C57BL/6J mice (24 to 60 wk old). Aliquots of the blood were immediately assayed onsite using the POC device. Corresponding serum aliquots were sent analyzed by LCA. Measures from the POC and LCA devices were compared by using the Bland-Altman and Passing-Bablok methods. Of a total of 40 aliquots, LCA results were within reported reference ranges for each model. POC results that fell beyond the device range were excluded from the analyses. The coefficient of determination and Passing-Bablok analysis demonstrated that POC glucose and HDL had the best agreement with LCA. The Bland-Altman analysis found no value-dependent bias in glucose and no significant bias in HDL. The remaining lipid analytes (cholesterol and triglyceride) showed significant bias. Until an improved, validated mouse POC device with lipid profile capability is available, the POC device that we tested appears adequate for screening glucose and HDL in mouse blood. Disadvantages of this clinical POC device are the narrow human ranges relative to ranges found in mice and its limited precision as compared with the LCA. This study demonstrates that when the samples are within the device range limits, this human POC device can accurately track metabolic syndrome and be used to compare patterns in glucose and HDL.

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Year:  2021        PMID: 34725027      PMCID: PMC8628525          DOI: 10.30802/AALAS-JAALAS-21-000011

Source DB:  PubMed          Journal:  J Am Assoc Lab Anim Sci        ISSN: 1559-6109            Impact factor:   1.232


  16 in total

1.  Use of the i-STAT portable clinical analyzer in mice.

Authors:  Peggy Tinkey; Thomas Lembo; Suzanne Craig; Cheri West; Carolyn Van Pelt
Journal:  Lab Anim (NY)       Date:  2006-02       Impact factor: 12.625

2.  Accuracy of 5 Point-of-Care Glucometers in C57BL/6J Mice.

Authors:  Linnea A Morley; Thomas H Gomez; Julia L Goldman; Rene Flores; Mary A Robinson
Journal:  J Am Assoc Lab Anim Sci       Date:  2018-01-01       Impact factor: 1.232

3.  Evaluation of the short-term stability of specimens for clinical laboratory testing.

Authors:  Katsuyoshi Ikeda; Kiyoshi Ichihara; Teruto Hashiguchi; Yoh Hidaka; Dongchon Kang; Masato Maekawa; Hiroyuki Matsumoto; Kazuyuki Matsushita; Shigeo Okubo; Tatsuyuki Tsuchiya; Koh Furuta
Journal:  Biopreserv Biobank       Date:  2015-04       Impact factor: 2.300

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  Elucidation of stability profiles of common chemistry analytes in serum stored at six graded temperatures.

Authors:  Yoshihisa Shimizu; Kiyoshi Ichihara
Journal:  Clin Chem Lab Med       Date:  2019-08-27       Impact factor: 3.694

6.  Evaluation of four portable blood glucose meters in diabetic and non-diabetic dogs and cats.

Authors:  Min-Hee Kang; Do-Hyung Kim; In-Seong Jeong; Gab-Chol Choi; Hee-Myung Park
Journal:  Vet Q       Date:  2015-10-07       Impact factor: 3.320

Review 7.  Understanding Bland Altman analysis.

Authors:  Davide Giavarina
Journal:  Biochem Med (Zagreb)       Date:  2015-06-05       Impact factor: 2.313

8.  Alzheimer amyloid-β- peptide disrupts membrane localization of glucose transporter 1 in astrocytes: implications for glucose levels in brain and blood.

Authors:  Rachel D Hendrix; Yang Ou; Jakeira E Davis; Angela K Odle; Thomas R Groves; Antiño R Allen; Gwen V Childs; Steven W Barger
Journal:  Neurobiol Aging       Date:  2020-10-10       Impact factor: 4.673

9.  Age-Related Reference Intervals of the Main Biochemical and Hematological Parameters in C57BL/6J, 129SV/EV and C3H/HeJ Mouse Strains.

Authors:  Cristina Mazzaccara; Giuseppe Labruna; Gennaro Cito; Marzia Scarfò; Mario De Felice; Lucio Pastore; Lucia Sacchetti
Journal:  PLoS One       Date:  2008-11-20       Impact factor: 3.240

10.  A guide to aid the selection of diagnostic tests.

Authors:  Cara S Kosack; Anne-Laure Page; Paul R Klatser
Journal:  Bull World Health Organ       Date:  2017-06-26       Impact factor: 9.408

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