Use of a novel triple-tracer approach to assess postprandial glucose metabolism

1  Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota 55905; and 2  Department of Electronics and Informatics, University of Padua, Padua 35131, Italy Numerous studies have used the dual-tracer method to a...

Full description

Saved in:
Bibliographic Details
Published inAmerican journal of physiology: endocrinology and metabolism Vol. 284; no. 1; pp. E55 - E69
Main Authors Basu, Rita, Di Camillo, Barbara, Toffolo, Gianna, Basu, Ananda, Shah, Pankaj, Vella, Adrian, Rizza, Robert, Cobelli, Claudio
Format Journal Article
LanguageEnglish
Published United States 01.01.2003
Subjects
Online AccessGet full text
ISSN0193-1849
1522-1555
DOI10.1152/ajpendo.00190.2001

Cover

Abstract 1  Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota 55905; and 2  Department of Electronics and Informatics, University of Padua, Padua 35131, Italy Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R a meal ) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1- 13 C]glucose while [6- 3 H]glucose and [6,6- 2 H 2 ]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6- 3 H]glucose to [1- 13 C]glucose and of [6,6- 2 H 2 ]glucose to endogenous glucose, respectively. R a meal and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% ± 3.4%, and suppression of EGP (EGPS) was 40.3% ± 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher ( P  < 0.05) and EGPS was lower ( P  < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R a meal and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so. glucose kinetics; initial splanchnic glucose uptake; nonsteady state
AbstractList Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R(a meal)) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1-(13)C]glucose while [6-(3)H]glucose and [6,6-(2)H(2)]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6-(3)H]glucose to [1-(13)C]glucose and of [6,6-(2)H(2)]glucose to endogenous glucose, respectively. R(a meal) and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% +/- 3.4%, and suppression of EGP (EGPS) was 40.3% +/- 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher (P < 0.05) and EGPS was lower (P < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R(a meal) and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so.Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R(a meal)) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1-(13)C]glucose while [6-(3)H]glucose and [6,6-(2)H(2)]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6-(3)H]glucose to [1-(13)C]glucose and of [6,6-(2)H(2)]glucose to endogenous glucose, respectively. R(a meal) and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% +/- 3.4%, and suppression of EGP (EGPS) was 40.3% +/- 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher (P < 0.05) and EGPS was lower (P < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R(a meal) and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so.
1  Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota 55905; and 2  Department of Electronics and Informatics, University of Padua, Padua 35131, Italy Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R a meal ) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1- 13 C]glucose while [6- 3 H]glucose and [6,6- 2 H 2 ]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6- 3 H]glucose to [1- 13 C]glucose and of [6,6- 2 H 2 ]glucose to endogenous glucose, respectively. R a meal and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% ± 3.4%, and suppression of EGP (EGPS) was 40.3% ± 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher ( P  < 0.05) and EGPS was lower ( P  < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R a meal and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so. glucose kinetics; initial splanchnic glucose uptake; nonsteady state
Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R a meal ) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1- 13 C]glucose while [6- 3 H]glucose and [6,6- 2 H 2 ]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6- 3 H]glucose to [1- 13 C]glucose and of [6,6- 2 H 2 ]glucose to endogenous glucose, respectively. R a meal and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% ± 3.4%, and suppression of EGP (EGPS) was 40.3% ± 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher ( P < 0.05) and EGPS was lower ( P < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R a meal and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so.
Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the marked tracer nonsteady state that occurs with the dual-tracer approach after food ingestion introduces error when it is used to simultaneously measure both meal glucose appearance (R(a meal)) and endogenous glucose production (EGP). To do so, a novel triple-tracer approach was designed: 12 subjects ingested a mixed meal containing [1-(13)C]glucose while [6-(3)H]glucose and [6,6-(2)H(2)]glucose were infused intravenously in patterns that minimized the change in the plasma ratios of [6-(3)H]glucose to [1-(13)C]glucose and of [6,6-(2)H(2)]glucose to endogenous glucose, respectively. R(a meal) and EGP measured with this approach were essentially model independent, since non-steady-state error was minimized by the protocol. Initial splanchnic glucose extraction (ISE) was 12.9% +/- 3.4%, and suppression of EGP (EGPS) was 40.3% +/- 4.1%. In contrast, when calculated with the dual-tracer one-compartment model, ISE was higher (P < 0.05) and EGPS was lower (P < 0.005) than observed with the triple-tracer approach. These errors could only be prevented by using time-varying volumes different for R(a meal) and EGP. Analysis of the dual-tracer data with a two-compartment model reduced but did not totally avoid the problems associated with marked postprandial changes in the tracer-to-tracee ratios. We conclude that results from previous studies that have used the dual-tracer one-compartment model to measure postprandial carbohydrate metabolism need to be reevaluated and that the triple-tracer technique may provide a useful approach for doing so.
Author Vella, Adrian
Toffolo, Gianna
Rizza, Robert
Basu, Rita
Basu, Ananda
Di Camillo, Barbara
Cobelli, Claudio
Shah, Pankaj
Author_xml – sequence: 1
  fullname: Basu, Rita
– sequence: 2
  fullname: Di Camillo, Barbara
– sequence: 3
  fullname: Toffolo, Gianna
– sequence: 4
  fullname: Basu, Ananda
– sequence: 5
  fullname: Shah, Pankaj
– sequence: 6
  fullname: Vella, Adrian
– sequence: 7
  fullname: Rizza, Robert
– sequence: 8
  fullname: Cobelli, Claudio
BackLink https://www.ncbi.nlm.nih.gov/pubmed/12485809$$D View this record in MEDLINE/PubMed
BookMark eNp9kEFvFCEYhompsdvqH_BgOHlyVmBgljmaplWTJr20Z8IwH7s0zIDAqPvvpe52TYyRy5fwvc-bL88FOpvDDAi9pWRNqWAf9WOEeQxrQmhP1qyOF2hVF6yhQogztKr_bUMl78_RRc6PhJCN4OwVOqeMSyFJv0J3DxlwsFjjOXwHj0ty0UNTkjaQsI4xBW12uASsc4accQy5xKTn0WmPt34xoRZMUPQQvMvTa_TSap_hzXFeooeb6_urL83t3eevV59uG9NKURo76EGTkQnWE8o5Mx2X44aQbqMJBzP0IKmwg-wosQSEBdl2xDBmOz0K4G17id4feuuB3xbIRU0uG_BezxCWrDZM1ie6Gnx3DC7DBKOKyU067dWzghqQh4BJIecEVhlXdHFhrhKcV5SoJ9vqaFv9tq2ebFeU_YWe2v8HfThAO7fd_XAJVNztsws-bPenPJNcUXUtxJ_z_hW_Wby_h5_lmTthKo62_QXD4qm8
CitedBy_id crossref_primary_10_1016_S1262_3636_08_74602_0
crossref_primary_10_2337_db11_1478
crossref_primary_10_2337_diabetes_55_03_06_db05_1335
crossref_primary_10_1136_jim_2019_001109
crossref_primary_10_2337_diabetes_53_12_3048
crossref_primary_10_1007_s00125_014_3240_x
crossref_primary_10_1109_TBME_2013_2272736
crossref_primary_10_2337_db07_0136
crossref_primary_10_1152_ajpendo_00165_2014
crossref_primary_10_1152_ajpendo_00581_2011
crossref_primary_10_2337_db12_1759
crossref_primary_10_2337_dc13_2066
crossref_primary_10_1016_j_imu_2017_12_002
crossref_primary_10_1152_ajpendo_00403_2010
crossref_primary_10_2337_dc08_1512
crossref_primary_10_2337_db05_1692
crossref_primary_10_1016_j_jprocont_2012_05_014
crossref_primary_10_2337_db09_0318
crossref_primary_10_2337_db22_0238
crossref_primary_10_1016_j_ddmod_2009_07_005
crossref_primary_10_2337_db06_1504
crossref_primary_10_1016_S1262_3636_07_70081_2
crossref_primary_10_1123_ijsnem_2022_0170
crossref_primary_10_2337_dc08_0705
crossref_primary_10_2337_dc10_0663
crossref_primary_10_3390_nu5062144
crossref_primary_10_1007_s11538_010_9522_7
crossref_primary_10_1089_dia_2017_0333
crossref_primary_10_2337_dc20_0611
crossref_primary_10_1109_TBME_2006_883792
crossref_primary_10_1152_ajpendo_00316_2017
crossref_primary_10_1017_S0029665120007016
crossref_primary_10_1152_ajpendo_00482_2012
crossref_primary_10_1152_physrev_00015_2022
crossref_primary_10_3182_20110828_6_IT_1002_02006
crossref_primary_10_1177_19322968231223936
crossref_primary_10_1089_dia_2005_7_72
crossref_primary_10_1111_dme_12189
crossref_primary_10_1152_ajpendo_00076_2005
crossref_primary_10_2337_dc07_0359
crossref_primary_10_1152_ajpendo_00199_2014
crossref_primary_10_1089_ten_tea_2008_0695
crossref_primary_10_1210_jc_2017_02182
crossref_primary_10_1517_17425247_2_2_353
crossref_primary_10_1177_19322968211015268
crossref_primary_10_1152_ajpendo_00133_2019
crossref_primary_10_1152_ajpendo_00319_2003
crossref_primary_10_1210_jc_2015_3952
crossref_primary_10_1152_ajpendo_00233_2018
crossref_primary_10_1007_s00125_013_2852_x
crossref_primary_10_1016_j_ifacol_2015_11_177
crossref_primary_10_2337_db12_0923
crossref_primary_10_1097_01_mco_0000134375_01310_97
crossref_primary_10_1210_jc_2012_3056
crossref_primary_10_1210_clinem_dgad477
crossref_primary_10_1177_1932296821990111
crossref_primary_10_1007_s11517_016_1509_6
crossref_primary_10_1088_0967_3334_29_8_008
crossref_primary_10_1210_jc_2016_1998
crossref_primary_10_1002_bit_23164
crossref_primary_10_1152_ajpendo_00546_2006
crossref_primary_10_1007_s10928_020_09726_9
crossref_primary_10_1113_JP285069
crossref_primary_10_1016_j_compbiomed_2019_03_028
crossref_primary_10_1152_ajpendo_00312_2023
crossref_primary_10_1089_dia_2015_0333
crossref_primary_10_1515_JPEM_2008_21_1_31
crossref_primary_10_1109_TCBB_2019_2905198
crossref_primary_10_1152_ajpendo_00486_2007
crossref_primary_10_2337_dc08_1549
crossref_primary_10_1021_acs_analchem_7b03134
crossref_primary_10_1109_TBME_2007_893506
crossref_primary_10_1152_ajpendo_00284_2021
crossref_primary_10_1186_1477_7827_11_106
crossref_primary_10_1152_ajpendo_00461_2005
crossref_primary_10_1016_j_ejps_2008_10_027
crossref_primary_10_1109_TBME_2023_3324206
crossref_primary_10_1177_19322968231195081
crossref_primary_10_1074_jbc_M110_188987
crossref_primary_10_1146_annurev_nutr_082018_124337
crossref_primary_10_2337_dc08_1826
crossref_primary_10_1210_clinem_dgae585
crossref_primary_10_2337_db08_1437
crossref_primary_10_1152_ajpendo_00139_2003
crossref_primary_10_1177_193229680700100303
crossref_primary_10_1111_dme_14335
crossref_primary_10_1016_j_cmpb_2012_01_010
crossref_primary_10_1038_s41430_023_01282_y
crossref_primary_10_1152_ajpendo_00014_2015
crossref_primary_10_1152_ajpendo_00091_2023
crossref_primary_10_1016_j_jchromb_2016_11_010
crossref_primary_10_1038_srep36029
crossref_primary_10_3182_20110828_6_IT_1002_03141
crossref_primary_10_1109_TBME_2024_3352153
crossref_primary_10_1089_dia_2020_0110
crossref_primary_10_1152_ajpendo_00012_2018
crossref_primary_10_2337_dc11_2381
crossref_primary_10_1186_1758_5996_6_113
crossref_primary_10_1186_s12014_022_09344_2
crossref_primary_10_1016_S1697_7912_10_70021_2
crossref_primary_10_1111_dom_13270
crossref_primary_10_1016_j_molmet_2021_101281
crossref_primary_10_1152_ajpendo_00163_2018
crossref_primary_10_2337_diabetes_52_7_1738
crossref_primary_10_1210_js_2018_00222
crossref_primary_10_1371_journal_pone_0135665
crossref_primary_10_1016_j_cmpb_2007_06_003
crossref_primary_10_2337_db15_1166
crossref_primary_10_1089_dia_2012_0145
crossref_primary_10_1016_j_conengprac_2022_105338
crossref_primary_10_1038_s41380_018_0045_1
crossref_primary_10_1210_clinem_dgae005
crossref_primary_10_1152_ajpendo_00500_2018
crossref_primary_10_1152_ajpendo_00182_2023
crossref_primary_10_1210_jc_2017_00923
crossref_primary_10_1089_met_2021_0136
crossref_primary_10_2337_db06_0319
crossref_primary_10_1152_ajpendo_00299_2004
crossref_primary_10_1016_j_mbs_2008_10_008
crossref_primary_10_1152_ajpendo_00494_2011
crossref_primary_10_1016_j_ifacol_2024_10_022
crossref_primary_10_1210_jc_2010_1398
crossref_primary_10_1152_ajpendo_00358_2014
crossref_primary_10_1152_ajpendo_00534_2020
crossref_primary_10_1109_10_995680
crossref_primary_10_1152_ajpendo_00084_2021
crossref_primary_10_1152_ajpendo_00118_2023
crossref_primary_10_1111_dom_16001
crossref_primary_10_1210_clinem_dgaf044
crossref_primary_10_1152_ajpendo_00182_2013
Cites_doi 10.1172/JCI117270
10.1152/ajpendo.1987.252.1.E77
10.2337/diab.17.7.415
10.2337/diabetes.48.2.292
10.1016/0026-0495(94)90038-8
10.1042/bj1720407
10.1016/0025-5564(84)90114-7
10.1056/NEJM199209033271007
10.1016/0026-0495(89)90039-5
10.1152/ajpendo.1998.275.4.E717
10.1172/JCI112467
10.1016/0026-0495(88)90033-9
10.1152/ajpendo.1981.240.6.E630
10.1016/0026-0495(78)90003-3
10.1172/JCI118379
10.1152/ajpendo.1993.264.4.E548
10.2337/diab.43.12.1418
10.1172/JCI118314
10.2337/diab.36.10.1130
10.2337/diab.39.11.1381
10.1016/0168-8227(95)01067-N
10.2337/diab.37.8.1025
10.2337/diabetes.50.6.1351
10.1172/JCI111519
10.1016/S0005-1098(96)00254-3
10.1152/ajplegacy.1956.187.1.15
10.1006/abio.1993.1363
ContentType Journal Article
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1152/ajpendo.00190.2001
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

CrossRef
MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Anatomy & Physiology
Mathematics
EISSN 1522-1555
EndPage E69
ExternalDocumentID 12485809
10_1152_ajpendo_00190_2001
ajpendo_284_1_E55
Genre Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S
Journal Article
GrantInformation_xml – fundername: NCRR NIH HHS
  grantid: RR-00585
– fundername: NIA NIH HHS
  grantid: AG-14383
GroupedDBID -
23M
2WC
39C
53G
5GY
5VS
8M5
ABPTK
ACPRK
ADACO
ADBBV
AENEX
AFFNX
AFRAH
ALMA_UNASSIGNED_HOLDINGS
BAWUL
BKOMP
C1A
DIK
DL
E3Z
EBS
F5P
GX1
KQ8
O0-
OK1
P2P
PQEST
PQQKQ
RAP
RHF
RHI
RPL
WH7
WOQ
---
6J9
AAYXX
ABJNI
BKKCC
BTFSW
CITATION
EMOBN
H13
ITBOX
P6G
RPRKH
TR2
W8F
XSW
YSK
4.4
AAFWJ
CGR
CUY
CVF
ECM
EIF
EJD
NPM
VXZ
7X8
ID FETCH-LOGICAL-c385t-fbaba0d252901442c648d70067a04ecb9e815fb8610f0e5fe8360c22f6ad5e433
ISSN 0193-1849
IngestDate Fri Jul 11 04:46:51 EDT 2025
Wed Feb 19 01:29:36 EST 2025
Thu Apr 24 23:01:17 EDT 2025
Tue Jul 01 03:18:21 EDT 2025
Tue Jan 05 17:54:13 EST 2021
Mon May 06 11:36:18 EDT 2019
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c385t-fbaba0d252901442c648d70067a04ecb9e815fb8610f0e5fe8360c22f6ad5e433
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMID 12485809
PQID 72888856
PQPubID 23479
ParticipantIDs pubmed_primary_12485809
highwire_physiology_ajpendo_284_1_E55
proquest_miscellaneous_72888856
crossref_citationtrail_10_1152_ajpendo_00190_2001
crossref_primary_10_1152_ajpendo_00190_2001
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20030101
2003-01-01
2003-Jan
PublicationDateYYYYMMDD 2003-01-01
PublicationDate_xml – month: 01
  year: 2003
  text: 20030101
  day: 01
PublicationDecade 2000
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle American journal of physiology: endocrinology and metabolism
PublicationTitleAlternate Am J Physiol Endocrinol Metab
PublicationYear 2003
References B20
B21
B23
B25
B27
B28
B29
Steele R (B26) 1956; 187
B10
B11
B12
B13
B14
B15
B16
B17
B18
B19
B1
B2
B3
B4
B5
B6
B7
B8
B9
Radziuk J (B22) 1978; 234
References_xml – ident: B6
  doi: 10.1172/JCI117270
– ident: B20
  doi: 10.1152/ajpendo.1987.252.1.E77
– volume: 234
  start-page: E84
  year: 1978
  ident: B22
  publication-title: Am J Physiol Endocrinol Metab Gastrointest Physiol
– ident: B25
  doi: 10.2337/diab.17.7.415
– ident: B10
  doi: 10.2337/diabetes.48.2.292
– ident: B17
  doi: 10.1016/0026-0495(94)90038-8
– ident: B1
  doi: 10.1042/bj1720407
– ident: B7
  doi: 10.1016/0025-5564(84)90114-7
– ident: B9
  doi: 10.1056/NEJM199209033271007
– ident: B3
  doi: 10.1016/0026-0495(89)90039-5
– ident: B16
  doi: 10.1152/ajpendo.1998.275.4.E717
– ident: B15
  doi: 10.1172/JCI112467
– ident: B11
  doi: 10.1016/0026-0495(88)90033-9
– ident: B23
  doi: 10.1152/ajpendo.1981.240.6.E630
– ident: B21
  doi: 10.1016/0026-0495(78)90003-3
– ident: B28
  doi: 10.1172/JCI118379
– ident: B5
  doi: 10.1152/ajpendo.1993.264.4.E548
– ident: B12
  doi: 10.2337/diab.43.12.1418
– ident: B27
  doi: 10.1172/JCI118314
– ident: B14
  doi: 10.2337/diab.36.10.1130
– ident: B18
  doi: 10.2337/diab.39.11.1381
– ident: B29
  doi: 10.1016/0168-8227(95)01067-N
– ident: B13
  doi: 10.2337/diab.37.8.1025
– ident: B2
  doi: 10.2337/diabetes.50.6.1351
– ident: B19
  doi: 10.1172/JCI111519
– ident: B8
  doi: 10.1016/S0005-1098(96)00254-3
– volume: 187
  start-page: 15
  year: 1956
  ident: B26
  publication-title: Am J Physiol
  doi: 10.1152/ajplegacy.1956.187.1.15
– ident: B4
  doi: 10.1006/abio.1993.1363
SSID ssj0007542
Score 2.1338375
Snippet 1  Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota 55905; and...
Numerous studies have used the dual-tracer method to assess postprandial glucose metabolism. The present experiments were undertaken to determine whether the...
SourceID proquest
pubmed
crossref
highwire
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage E55
SubjectTerms Adult
Blood Glucose - analysis
Blood Glucose - metabolism
Carbon Isotopes
Deuterium
Female
Food
Glucose - administration & dosage
Glucose Tolerance Test - methods
Humans
Infusions, Intravenous
Insulin - blood
Male
Mathematics
Tritium
Title Use of a novel triple-tracer approach to assess postprandial glucose metabolism
URI http://ajpendo.physiology.org/cgi/content/abstract/284/1/E55
https://www.ncbi.nlm.nih.gov/pubmed/12485809
https://www.proquest.com/docview/72888856
Volume 284
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELbKIiEuCHZ5lKcPwKUKJE6cpMfVsrACLQ-pK-3NshNbAm2Tqk2R4GfxC5mJ7SRtF7TQQ1Tl4bqZL5N5eL4h5DmYtMyUCoPuhgVJwUyAdnIgdakUU1GaR1gofPoxPTlL3p_z89Ho12DV0rpRr4qfl9aV_I9UYR_IFatk_0Gy3aCwA76DfGELEobtlWR8ZgPxclLV3zUuGseoedAsZaGXHVs4WpeyTe1OFvWqWSyxkAUE4xerz3UDQLjwVIKekdZncgbUEm0UxFa3YD-fqqxB5VQ9idPWSG18dLW25ftNp_7ffJ0cYVTF5nxcvqMPdhtT2yPvALiV3B7pEKPeciNWEQ9iFS58OY0D8CmtktRO5YI7DFYNH-pkZvvGbYDPathje-Ku5ufIJCu_YefgGvNL0xC9_2h4MtycxbzFQoRMbnk47d-CPvO_9XLsliy6kQXMTEQCZnGNXGdZ1i4N-PClZ6jHjsK2RN_-U1-oxdnr3ckhZa2byaZd5Lmq_-z3tPbP7Da55RwXemhReIeMdLVPDkAcTT3_QV_Szx049smNU7di44B8AozS2lBJW4zSDYxSj1Ha1NRilA4xSh1GaY-su-Ts7fHs6CRwTTyCIs55ExgllQxLxtuEfcKKNMnLDI0kGSa6UFOdR9yoHMx4E2puNFYVFaBAUllyncTxPbJX1ZV-QKiKUw0WV6aQdi-PpOR5BtolzMFBNHBkTCJ_C0XhGO6x0cqFaD1dzoQXYisB7MAajcmku2Zh-V3-enbkJSP6Z05gtGgGcPFXdBgRi9KMyYvLrtnB05g886IWoOIxbycrXa9XImM5fHg6JvctAvqZOvA8vOJvPCI3-8fyMdlrlmv9BIzqRj1tUfwbav7Qsw
linkProvider Colorado Alliance of Research Libraries
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Use+of+a+novel+triple-tracer+approach+to+assess+postprandial+glucose+metabolism&rft.jtitle=American+journal+of+physiology%3A+endocrinology+and+metabolism&rft.au=Basu%2C+Rita&rft.au=Di+Camillo%2C+Barbara&rft.au=Toffolo%2C+Gianna&rft.au=Basu%2C+Ananda&rft.date=2003-01-01&rft.issn=0193-1849&rft.eissn=1522-1555&rft.volume=284&rft.issue=1&rft.spage=E55&rft_id=info:doi/10.1152%2Fajpendo.00190.2001&rft_id=info%3Apmid%2F12485809&rft.externalDBID=n%2Fa&rft.externalDocID=ajpendo_284_1_E55
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0193-1849&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0193-1849&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0193-1849&client=summon