Glucose fluctuations and activation of oxidative stress in patients with type 1 diabetes

I. M. E. Wentholt; W. Kulik; R. P. J. Michels; J. B. L. Hoekstra; J. H. DeVries

doi:https://doi.org/10.1007/s00125-007-0842-6

Glucose fluctuations and activation of oxidative stress in patients with type 1 diabetes

I. M. E. Wentholt, W. Kulik, R. P. J. Michels, J. B. L. Hoekstra, J. H. DeVries

Research output: Contribution to journal › Article › Academic › peer-review

174 Citations (Scopus)

Abstract

AIMS/HYPOTHESIS: Glucose fluctuations may help predict diabetic complications. We evaluated the relation between glucose variability and oxidative stress in patients with type 1 diabetes. METHODS: Continuous glucose monitors were inserted subcutaneously in 25 patients. During the measurement, patients collected two 24 h urine samples, while 24 healthy controls collected one 24 h urine sample for determination of 15(S)-8-iso-prostaglandin F2alpha(PGF2alpha) using HPLC tandem mass spectrometry. Mean of the daily differences (MODD), mean amplitude of glycaemic excursions (MAGE) and continuous overlapping net glycaemic action calculated with n hour time-intervals (CONGA-n) were calculated as markers for glucose variability and correlation with 15(S)-8-iso-PGF2alpha excretion was calculated. RESULTS: Median [interquartile range (IQR)] urinary 15(S)-8-iso-PGF2alpha was higher in patients than healthy controls: 161 (140-217) pg/mg creatinine vs 118 (101-146) pg/mg creatinine (p = 0.001). Median (IQR) MODD was 3.7 (3.2-5.0) mmol/l, MAGE 7.6 (6.4-9.0) mmol/l and CONGA-1 2.3 (2.1-2.8) mmol/l. Univariate regression did not reveal an association for MODD (r2 = 0.01), MAGE (0.08) or CONGA-1 (0.07) with 15(S)-8-iso-PGF2alpha excretion, nor was an association revealed when corrected for HbA1c, age, sex and smoking. Spearman correlation coefficients (r) between 15(S)-8-iso-PGF2alpha excretion and MODD, MAGE and CONGA-1 were non-significant: -0.112, -0.381 and -0.177. CONCLUSIONS/INTERPRETATION: We report that there is no relationship between glucose variability and urinary 15(S)-8-iso-PGF2alpha. We also confirm that patients with type 1 diabetes have higher levels of urinary 15(S)-8-iso-PGF2alpha than healthy controls, suggesting that in addition to glucose variability, other factors favouring oxidative stress may exist. We did not see a relation between high glucose variability and elevated levels of oxidative stress in patients with type 1 diabetes

Original language	English
Pages (from-to)	183-190
Journal	Diabetologia
Volume	51
Issue number	1
DOIs	https://doi.org/10.1007/s00125-007-0842-6
Publication status	Published - 2008

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Cite this

@article{09845ff3f4e34919a10117297958af77,

title = "Glucose fluctuations and activation of oxidative stress in patients with type 1 diabetes",

abstract = "AIMS/HYPOTHESIS: Glucose fluctuations may help predict diabetic complications. We evaluated the relation between glucose variability and oxidative stress in patients with type 1 diabetes. METHODS: Continuous glucose monitors were inserted subcutaneously in 25 patients. During the measurement, patients collected two 24 h urine samples, while 24 healthy controls collected one 24 h urine sample for determination of 15(S)-8-iso-prostaglandin F2alpha(PGF2alpha) using HPLC tandem mass spectrometry. Mean of the daily differences (MODD), mean amplitude of glycaemic excursions (MAGE) and continuous overlapping net glycaemic action calculated with n hour time-intervals (CONGA-n) were calculated as markers for glucose variability and correlation with 15(S)-8-iso-PGF2alpha excretion was calculated. RESULTS: Median [interquartile range (IQR)] urinary 15(S)-8-iso-PGF2alpha was higher in patients than healthy controls: 161 (140-217) pg/mg creatinine vs 118 (101-146) pg/mg creatinine (p = 0.001). Median (IQR) MODD was 3.7 (3.2-5.0) mmol/l, MAGE 7.6 (6.4-9.0) mmol/l and CONGA-1 2.3 (2.1-2.8) mmol/l. Univariate regression did not reveal an association for MODD (r2 = 0.01), MAGE (0.08) or CONGA-1 (0.07) with 15(S)-8-iso-PGF2alpha excretion, nor was an association revealed when corrected for HbA1c, age, sex and smoking. Spearman correlation coefficients (r) between 15(S)-8-iso-PGF2alpha excretion and MODD, MAGE and CONGA-1 were non-significant: -0.112, -0.381 and -0.177. CONCLUSIONS/INTERPRETATION: We report that there is no relationship between glucose variability and urinary 15(S)-8-iso-PGF2alpha. We also confirm that patients with type 1 diabetes have higher levels of urinary 15(S)-8-iso-PGF2alpha than healthy controls, suggesting that in addition to glucose variability, other factors favouring oxidative stress may exist. We did not see a relation between high glucose variability and elevated levels of oxidative stress in patients with type 1 diabetes",

author = "Wentholt, {I. M. E.} and W. Kulik and Michels, {R. P. J.} and Hoekstra, {J. B. L.} and DeVries, {J. H.}",

year = "2008",

doi = "https://doi.org/10.1007/s00125-007-0842-6",

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volume = "51",

pages = "183--190",

journal = "Diabetologia",

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T1 - Glucose fluctuations and activation of oxidative stress in patients with type 1 diabetes

AU - Wentholt, I. M. E.

AU - Kulik, W.

AU - Michels, R. P. J.

AU - Hoekstra, J. B. L.

AU - DeVries, J. H.

PY - 2008

Y1 - 2008

N2 - AIMS/HYPOTHESIS: Glucose fluctuations may help predict diabetic complications. We evaluated the relation between glucose variability and oxidative stress in patients with type 1 diabetes. METHODS: Continuous glucose monitors were inserted subcutaneously in 25 patients. During the measurement, patients collected two 24 h urine samples, while 24 healthy controls collected one 24 h urine sample for determination of 15(S)-8-iso-prostaglandin F2alpha(PGF2alpha) using HPLC tandem mass spectrometry. Mean of the daily differences (MODD), mean amplitude of glycaemic excursions (MAGE) and continuous overlapping net glycaemic action calculated with n hour time-intervals (CONGA-n) were calculated as markers for glucose variability and correlation with 15(S)-8-iso-PGF2alpha excretion was calculated. RESULTS: Median [interquartile range (IQR)] urinary 15(S)-8-iso-PGF2alpha was higher in patients than healthy controls: 161 (140-217) pg/mg creatinine vs 118 (101-146) pg/mg creatinine (p = 0.001). Median (IQR) MODD was 3.7 (3.2-5.0) mmol/l, MAGE 7.6 (6.4-9.0) mmol/l and CONGA-1 2.3 (2.1-2.8) mmol/l. Univariate regression did not reveal an association for MODD (r2 = 0.01), MAGE (0.08) or CONGA-1 (0.07) with 15(S)-8-iso-PGF2alpha excretion, nor was an association revealed when corrected for HbA1c, age, sex and smoking. Spearman correlation coefficients (r) between 15(S)-8-iso-PGF2alpha excretion and MODD, MAGE and CONGA-1 were non-significant: -0.112, -0.381 and -0.177. CONCLUSIONS/INTERPRETATION: We report that there is no relationship between glucose variability and urinary 15(S)-8-iso-PGF2alpha. We also confirm that patients with type 1 diabetes have higher levels of urinary 15(S)-8-iso-PGF2alpha than healthy controls, suggesting that in addition to glucose variability, other factors favouring oxidative stress may exist. We did not see a relation between high glucose variability and elevated levels of oxidative stress in patients with type 1 diabetes

AB - AIMS/HYPOTHESIS: Glucose fluctuations may help predict diabetic complications. We evaluated the relation between glucose variability and oxidative stress in patients with type 1 diabetes. METHODS: Continuous glucose monitors were inserted subcutaneously in 25 patients. During the measurement, patients collected two 24 h urine samples, while 24 healthy controls collected one 24 h urine sample for determination of 15(S)-8-iso-prostaglandin F2alpha(PGF2alpha) using HPLC tandem mass spectrometry. Mean of the daily differences (MODD), mean amplitude of glycaemic excursions (MAGE) and continuous overlapping net glycaemic action calculated with n hour time-intervals (CONGA-n) were calculated as markers for glucose variability and correlation with 15(S)-8-iso-PGF2alpha excretion was calculated. RESULTS: Median [interquartile range (IQR)] urinary 15(S)-8-iso-PGF2alpha was higher in patients than healthy controls: 161 (140-217) pg/mg creatinine vs 118 (101-146) pg/mg creatinine (p = 0.001). Median (IQR) MODD was 3.7 (3.2-5.0) mmol/l, MAGE 7.6 (6.4-9.0) mmol/l and CONGA-1 2.3 (2.1-2.8) mmol/l. Univariate regression did not reveal an association for MODD (r2 = 0.01), MAGE (0.08) or CONGA-1 (0.07) with 15(S)-8-iso-PGF2alpha excretion, nor was an association revealed when corrected for HbA1c, age, sex and smoking. Spearman correlation coefficients (r) between 15(S)-8-iso-PGF2alpha excretion and MODD, MAGE and CONGA-1 were non-significant: -0.112, -0.381 and -0.177. CONCLUSIONS/INTERPRETATION: We report that there is no relationship between glucose variability and urinary 15(S)-8-iso-PGF2alpha. We also confirm that patients with type 1 diabetes have higher levels of urinary 15(S)-8-iso-PGF2alpha than healthy controls, suggesting that in addition to glucose variability, other factors favouring oxidative stress may exist. We did not see a relation between high glucose variability and elevated levels of oxidative stress in patients with type 1 diabetes

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DO - https://doi.org/10.1007/s00125-007-0842-6

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SN - 0012-186X

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