Continuous glucose profiles in healthy subjects under everyday life conditions and after different meals
Open accessAbstract
Background: This study investigated continuous glucose profiles in nondiabetic subjects. Methods: Continuous interstitial glucose measurement was performed under everyday life conditions (2 days) and after ingestion of four meals with standardized carbohydrate content (50 grams), but with different types of carbohydrates and variable protein and fat content. Twenty-four healthy volunteers (12 female, 12 male, age 27.1 ± 3.6 years) participated in the study. Each subject wore two microdialysis devices (SCGM1, Roche Diagnostics) simultaneously. Results: The mean 24-hour interstitial glucose concentration under everyday life conditions was 89.3 ± 6.2 mg/dl (mean ± SD, n = 21), and mean interstitial glucose concentrations at daytime and during the night were 93.0 ± 7.0 and 81.8 ± 6.3 mg/dl, respectively. The highest postprandial glucose concentrations were observed after breakfast: 132.3 ± 16.7 mg/dl (range 101–168 mg/dl); peak concentrations after lunch and dinner were 118.2 ± 13.4 and 123.0 ± 16.9 mg/dl, respectively. Mean time to peak glucose concentration was between 46 and 50 minutes. After ingestion of standardized meals with fast absorption characteristics, peak interstitial glucose concentrations were 133.2 ± 14.4 and 137.2 ± 21.1 mg/dl, respectively. Meals with a higher fiber, protein, and fat content induced a smaller increase and a slower decrease of postprandial glucose concentrations with peak values of 99.2 ± 10.5 and 122.1 ± 20.4 mg/dl, respectively. Conclusions: This study provided continuous glucose profiles in nondiabetic subjects and demonstrated that differences in meal composition are reflected in postprandial interstitial glucose concentrations. Regarding the increasing application of continuous glucose monitoring in diabetic patients, these data suggest that detailed information about the ingested meals is important for adequate interpretation of postprandial glucose profiles.
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Most studies of CGM profiles in healthy, nondiabetic individuals have had small sample sizes or used early-generation CGM systems, which were less accurate than current devices.
“Most studies of CGM profiles in healthy, nondiabetic individuals have had small sample sizes or used early-generation CGM systems, which were less accurate than current devices (3)(4)(5)(6)(7).”
From Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study (2019) · cites this paper as [4]
The Methods report CGM profiles from 24 healthy volunteers using SCGM1 devices, supporting this paper as an example of a small study using an older system. The paper reports the SCGM1’s measurement error but does not compare its accuracy with current devices or establish that most such studies share these limitations. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe overall results of this study are in agreement with previous studies despite the different generations of CGM systems used in most of the studies.
“The overall results of our study are in agreement with previous studies (3)(4)(5)(6)(7)17) despite the different generations of CGM systems used in most of the studies.”
From Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study (2019) · cites this paper as [4]
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- [1]The Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329:977–986. doi: 10.1056/NEJM199309303291401. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [2]UK Prospective Diabetes Study (UKPDS) Group. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34) Lancet. 1998;352:854–865. [PubMed] [Google Scholar]
- [3]Bolinder J, Ungerstedt U, Arner P. Microdialysis measurement of the absolute glucose concentration in subcutaneous adipose tissue allowing glucose monitoring in diabetic patients. Diabetologia. 1992;35:1177–1180. doi: 10.1007/BF00401374. [DOI] [PubMed] [Google Scholar] · DOI
- [4]Schmidt FJ, Sluiter WJ, Schoonen AJM. Glucose concentration in subcutaneous extracellular space. Diabetes Care. 1993;16:695–700. doi: 10.2337/diacare.16.5.695. [DOI] [PubMed] [Google Scholar] · DOI
- [5]Thomas K, Kiwit M, Kerner W. Glucose concentration in human subcutaneous adipose tissue: comparison between forearm and abdomen. Exp Clin Endocrinol Diabetes. 1998;106:465–469. doi: 10.1055/s-0029-1212017. [DOI] [PubMed] [Google Scholar] · DOI
- [6]Tiessen RG, Rhemrev-Boom MM, Korf J. Glucose gradient differences in subcutaneous tissue of healthy volunteers assessed with ultraslow microdialysis and a nanolitre glucose sensor. Life Sci. 2002;70:2457–2466. doi: 10.1016/s0024-3205(02)01515-1. [DOI] [PubMed] [Google Scholar] · DOI
- [7]Jansson PA, Fowelin J, Smith U, Lönnroth P. Characterization by microdialysis of intercellular glucose level in subcutaneous tissue in humans. Am J Physiol. 1988;255:E218–20. doi: 10.1152/ajpendo.1988.255.2.E218. [DOI] [PubMed] [Google Scholar] · DOI
- [8]Moberg E, Hagström-Toft E, Bolinder J. Detection of hypoglycaemia by microdialysis measurements of glucose in subcutaneous adipose tissue. Horm Metab Res. 1997;29:440–443. doi: 10.1055/s-2007-979073. [DOI] [PubMed] [Google Scholar] · DOI
- [9]Hagström E, Arner P, Engfeldt P, Rössner S, Bolinder J. In vivo subcutaneous adipose tissue glucose kinetics after glucose ingestion in obesity and fasting. Scand J Clin Lab Invest. 1990;50:129–136. doi: 10.1080/00365519009089144. [DOI] [PubMed] [Google Scholar] · DOI
- [10]Monsod TP, Flanagan DE, Rife F, Saenz R, Caprio S, Sherwin RS, Tamborlane WV. Do sensor glucose levels accurately predict plasma glucose concentrations during hypoglycemia and hyperinsulinemia? Diabetes Care. 2002;25:889–893. doi: 10.2337/diacare.25.5.889. [DOI] [PubMed] [Google Scholar] · DOI
- [11]Boyne MS, Silver DM, Kaplan J, Saudek CD. Timing of changes in interstitial and venous blood glucose measured with a continuous subcutaneous glucose sensor. Diabetes. 2003;52:2790–2794. doi: 10.2337/diabetes.52.11.2790. [DOI] [PubMed] [Google Scholar] · DOI
- [12]Steil GM, Rebrin K, Mastrototaro J, Bernaba B, Saad MF. Determination of plasma glucose during rapid glucose excursions with a subcutaneous glucose sensor. Diabetes Technol Ther. 2003;5:27–31. doi: 10.1089/152091503763816436. [DOI] [PubMed] [Google Scholar] · DOI
- [13]Wilhelm B, Forst S, Weber MM, Larbig M, Pfutzner A, Forst T. Evaluation of CGMS® during rapid blood glucose changes in patients with type 1 diabetes. Diabetes Technol Ther. 2006;8:146–155. doi: 10.1089/dia.2006.8.146. [DOI] [PubMed] [Google Scholar] · DOI
- [14]Kapitza C, Lodwig V, Obermaier K, Wientjes KJ, Hoogenberg K, Jungheim K, Heinemann L. Continuous glucose monitoring: reliable measurements for up to 4 days with the SCGM1 system. Diabetes Technol Ther. 2003;5:609–614. doi: 10.1089/152091503322250622. [DOI] [PubMed] [Google Scholar] · DOI
- [15]Schoemaker M, Andreis E, Röper J, Kotulla R, Lodwig V, Obermaier K, Stephan P, Reuschling W, Rutschmann M, Schwaninger R, Wittmann U, Rinne H, Kontschieder H, Strohmeier W. The SCGM1 system: subcutaneous continuous glucose monitoring based on microdialysis technique. Diabetes Technol Ther. 2003;5:599–608. doi: 10.1089/152091503322250613. [DOI] [PubMed] [Google Scholar] · DOI
- [16]Crapo PA, Reaven G, Olefsky J. Plasma glucose and insulin responses to orally administered simple and complex carbohydrates. Diabetes. 1976;25:741–747. [PubMed] [Google Scholar]
- [17]Crapo PA, Reaven G, Olefsky J. Postprandial plasma-glucose and insulin responses to different complex carbohydrates. Diabetes. 1977;26:1178–1183. doi: 10.2337/diab.26.12.1178. [DOI] [PubMed] [Google Scholar] · DOI
- [18]Polonsky KS, Given BD, Van Cauter E. Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects. J Clin Invest. 1988;81:442–448. doi: 10.1172/JCI113339. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [19]Service FJ, O'Brien PC, Rizza RA. Measurements of glucose control. Diabetes Care. 1987;10:225–237. doi: 10.2337/diacare.10.2.225. [DOI] [PubMed] [Google Scholar] · DOI
- [20]Brynes AE, Adamson J, Dornhorst A, Frost GS. The beneficial effect of a diet with low glycaemic index on 24 h glucose profiles in healthy young people as assessed by continuous glucose monitoring. Br J Nutr. 2005;93:179–182. doi: 10.1079/bjn20041318. [DOI] [PubMed] [Google Scholar] · DOI
- [21]von Dobeln A, Adamson U, Lins PE. Nocturnal differences in subcutaneous tissue glucose between forearm and abdominal sites during continuous glucose monitoring in normal subjects. Diabetes Metab. 2005;31:347–352. doi: 10.1016/s1262-3636(07)70203-3. [DOI] [PubMed] [Google Scholar] · DOI
- [22]Yogev Y, Ben-Haroush A, Chen R, Rosenn B, Hod M, Langer O. Diurnal glycemic profile in obese and normal weight nondiabetic pregnant women. Am J Obstet Gynecol. 2004;191:949–953. doi: 10.1016/j.ajog.2004.06.059. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [23]Yu M, Zhou J, Xiang KS, Lu HJ, Ma XJ, Lu W. The glycemic excursions in normal glucose tolerance individuals revealed by continuous glucose monitoring system. Natl Med J China. 2004;84:1788–1790. [PubMed] [Google Scholar]
- [24]Garg S, Zisser H, Schwartz S, Bailey T, Kaplan R, Ellis S, Jovanovic L. Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor. Diabetes Care. 2006;29:44–50. doi: 10.2337/diacare.29.01.06.dc05-1686. [DOI] [PubMed] [Google Scholar] · DOI
- [25]Bode BW, Schwartz S, Stubbs HA, Block JE. Glycemic characteristics in continuously monitored patients with type 1 and type 2 diabetes. Diabetes Care. 2005;28:2361–2366. doi: 10.2337/diacare.28.10.2361. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [26]Davidson J. Should postprandial glucose be measured and treated to a particular target? Yes. Diabetes Care. 2003;26:1919–1921. doi: 10.2337/diacare.26.6.1919. [DOI] [PubMed] [Google Scholar] · DOI
- [27]Chlup R, Jelenová D, Kudlová P, Chlupová K, Bartek J, et al. Langová K, Chlupová L. Continuous glucose monitoring—a novel approach to the determination of the glycaemic index of foods (DEGIF 1)—determination of the glycaemic index of foods by means of the CGMS. Exp Clin Endocrinol Diabetes. 2006;114:68–74. doi: 10.1055/s-2006-923806. [DOI] [PubMed] [Google Scholar] · DOI
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- Authors
- Freckmann, G., Hagenlocher, S., Baumstark, A., Jendrike, N., Gillen, R. C., Rössner, K., & Haug, C.
- Affiliations
- Universität Ulm (DE)
- F. Hoffmann-La Roche AG (CH)
- Corresponding author
- Haug, Cornelia
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2007-09
- Volume
- 1
- Issue
- 5
- Pages
- 695-703
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC2769652
- OpenAlex
- W2112509178
- Cited by
- 174
- References
- 0
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 13 · 2023: 13 · 2022: 17 · 2021: 10 · 2020: 14 · 2019: 23 · 2018: 13 · 2017: 14 · 2016: 9 · 2015: 8 · 2014: 6 · 2013: 3 · 2012: 1
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- continuous glucose monitoring, interstitial glucose, postprandial blood glucose, meal composition, dietary fiber, protein and fat content, healthy volunteers
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