Markers of inflammation and microvascular complications in type 1 diabetes

Mitrović, Milena; Popović, Đorđe S.; Naglić, Dragana Tomić; Paro, Jovanka Novaković; Ilić, Tamara; Zavišić, Branka Kovačev

doi:10.2478/s11536-013-0335-6

Cited by 6 publications

(10 citation statements)

References 31 publications

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“…Although there is an evidence of increased IL-6 serum levels in T1DM patients with developed DN [103], others have found that they do not differ in regard to levels in patients without DN [104]. As far as DR is concerned, some studies report higher serum levels of IL-6 in T1DM patients with developed DR [105,106], while other investigators have found differences only in case of considering different degrees of retinopathy [104], and the third have concluded that there is no correlation between IL-6 serum level and DR [102]. One of the studies has demonstrated the correlation of increased IL-6 serum levels and autonomic neuropathy [107], while other has not found the difference in serum levels of IL-6 between T1DM patients without and with developed DNP [104].…”

Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 96%

“…Most of the studies analyzing the serum levels of IL-6 in T1DM have concluded that they are higher in the patients compared to the ones in nondiabetic subjects [96][97][98][99][100], while some of the investigators have found that levels are similar in two groups [101,102]. Although there is an evidence of increased IL-6 serum levels in T1DM patients with developed DN [103], others have found that they do not differ in regard to levels in patients without DN [104]. As far as DR is concerned, some studies report higher serum levels of IL-6 in T1DM patients with developed DR [105,106], while other investigators have found differences only in case of considering different degrees of retinopathy [104], and the third have concluded that there is no correlation between IL-6 serum level and DR [102].…”

Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 99%

“…As far as DR is concerned, some studies report higher serum levels of IL-6 in T1DM patients with developed DR [105,106], while other investigators have found differences only in case of considering different degrees of retinopathy [104], and the third have concluded that there is no correlation between IL-6 serum level and DR [102]. One of the studies has demonstrated the correlation of increased IL-6 serum levels and autonomic neuropathy [107], while other has not found the difference in serum levels of IL-6 between T1DM patients without and with developed DNP [104]. There is a lack of trials that have studied exclusively IL-6 in context of CVD in T1DM, but one of them has pointed out correlation of IL-6 serum level and aortic pulse wave velocity, marker of arterial stiffness, which is the surrogate of subclinical atherosclerosis, but only in men [100].…”

Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 99%

See 2 more Smart Citations

Levels of different adipocytokines in chronic complications of type 1 diabetes mellitus

Popovic¹,

Sekeruš²

2016

Integr Obesity Diabetes

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Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 96%

Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 99%

Section: Interleukin-6 and Chronic Complications Of Type 1 Diabetesmentioning

confidence: 99%

See 1 more Smart Citation

Levels of different adipocytokines in chronic complications of type 1 diabetes mellitus

Popovic¹,

Sekeruš²

2016

Integr Obesity Diabetes

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“…Diabetes has become a common disease in modern society. It is a chronic disease in which blood glucose concentration fluctuates from its normal range (90-140mg/dl) causing a significant impact on health [1][2]. According to a study made by the International Diabetes Federation (IDF) in 2014, 387 million people had diabetes; by 2035 this will rise to 600 million [3].…”

Section: Introductionmentioning

confidence: 99%

Noninvasive blood glucose monitoring system based on near-infrared method

Al-dhaheri¹,

Mekkakia-Maaza²,

Mouhadjer³

et al. 2020

IJECE

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Diabetes is considered one of the life-threatening diseases in the world which need continuous monitoring to avoid the complication of diabetes. There is a need to develop a non-invasive monitoring system that avoids the risk of infection problems and pain caused by invasive monitoring techniques. This paper presents a method for developing a noninvasive technique to predict the blood glucose concentration (BCG) based on the Near-infrared (NIR) light sensor. A prototype is developed using a finger sensor based on LED of 940 nm wavelength to collect photoplethysmography (PPG) signal which is variable depending on the glucose concentration variance, a module circuit to preprocess PPG signals is realized, which includes an amplifier and analog filter circuits, an Arduino UNO is used to analog-to-digital conversion. A digital Butterworth filterer is used to remove PPG signal trends, then detect the PPG data peaks to determine the relationship between the PPG signal and (BCG) and use it as input parameters to build the calibration model based on linear regression. Experiments show that the Root Mean Squares Error (RMSE) of the prediction is between 8.264mg/dL and 13.166 mg/dL, the average of RMSE is about 10.44mg/dL with a correlation coefficient (R^2) of 0.839, it is observed that the prediction of glucose concentration is in the clinically acceptable region of the standard Clark Error Grid (CEG).

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“…Diabetes has become a common disease in modern society. The blood glucose is too high or too low both will cause a significant impact on health, and the complications of diabetes are very serious, such as liver cirrhosis and neuropathy (Garcia-Compean et al 2009, Mitrović et al 2014 [1] [2]. Diabetes is a disease difficult to cure, only through diet or insulin injections to control blood glucose.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Blood Glucose Measurement Based on NIR Spectrums and Double ANN Analysis

Guo¹,

Shang²,

Peng³

et al. 2015

JBM

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This paper presents a new noninvasive blood glucose monitoring method based on four near infrared spectrums and double artificial neural network analysis. We choose four near infrared wavelengths, 820 nm, 875 nm, 945 nm, 1050 nm, as transmission spectrums, and capture four fingers transmission PPG signals simultaneously. The wavelet transform algorithm is used to remove baseline drift, smooth signals and extract eight eigenvalues of each PPG signal. The eigenvalues are the input parameters of double artificial neural network analysis model. Double artificial neural network regression combines the classification recognition algorithm with prediction algorithm to improve the accuracy of measurement. Experiments show that the root mean square error of the prediction is between 0.97 mg/dL-6.69 mg/dL, the average of root mean square error is 3.80 mg/dL.

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Markers of inflammation and microvascular complications in type 1 diabetes

Abstract: Abstract

Cited by 6 publications

References 31 publications

Levels of different adipocytokines in chronic complications of type 1 diabetes mellitus

Levels of different adipocytokines in chronic complications of type 1 diabetes mellitus

Noninvasive blood glucose monitoring system based on near-infrared method

Noninvasive Blood Glucose Measurement Based on NIR Spectrums and Double ANN Analysis

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