A Negative Correlation Between Blood Glucose Level and 68 Ga-DOTA-TOC Uptake in the Pancreas Uncinate Process

2021 ◽  
Author(s):  
Dongkyu Oh ◽  
Hongyoon Choi ◽  
Jin Chul Paeng ◽  
Keon Wook Kang ◽  
Gi Jeong Cheon
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Negative Correlation ◽  
Uncinate Process

Metrological support of individual blood glucose meters in telemedicine

2019 ◽  
pp. 52-56
Author(s):  
Yu.F. Glukhov ◽  
N.V. Krutikov ◽  
A.V. Ivanov ◽  
N.P. Muravskaya
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Measurement Data ◽  
Test Method ◽  
Level Measurement ◽  
Measurement Devices ◽  
Real Practice ◽  
Health Care Centers ◽  
Medical Measurement

We have studied and analyzed status and metrological supervision of blood glucose monitors, individual devices for a person’s blood glucose level measurement. It has been indicated that nowadays blood glucose monitors like other individual devices for medical measurement are not allowed to be involved in telemedicine public service. This accounts for absence of metrological supervision with these measurement devices in telemedicine. In addition, the key problem is absence of safe methods and means of remote verificaition, calibration and transmission of measurement data to health care centers. The article offers a remote test method for blood glucose monitors using a number of resistors with values correlating with measured blood glucose level. The available method has been successfully trialed in real practice.

PENGENDALIAN KADAR GLUKOSA DARAH OLEH TEH HIJAU DAN ATAU TEH DAUN MURBEI PADA TIKUS DIABETES

2010 ◽  
Vol 5 (2) ◽  
pp. 87
Author(s):  
Rusman Efendi ◽  
Evy Damayanthi ◽  
Lilik Kustiyah ◽  
Nastiti Kusumorini
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Green Tea ◽  
Glucose Level ◽  
Diabetic Rats ◽  
Feed Consumption ◽  
Font Size ◽  
High Prevalence ◽  
The Difference ◽  
Control Diabetes

<p class="MsoNormal" style="margin: 0cm 7.1pt 6pt 14.2pt; text-align: justify; text-indent: 1cm;"><span style="font-size: 10pt;">Diabetes mellitus is degeneratif disease with high prevalence that happens in many countries. Several studies had been done to control diabetes by using green tea, mullberry leaf  tea, and their mixture. The aim of this research was to analyze the influence of the administration green tea, mullbery leaf tea, and their mixtures to blood glucose level of diabetic rats both during 120 minutes after administration. This research had four phases, first to determine the best mullberry leaf tea, second to fourth phases respectively, determine turnover of blood glucose level on normal rats; attempt during 120 minutes on diabetic rats.  The result of research during 120 minutes have showed that blood glucose level on diabetic rats which were administered by green tea, mullberry leaf tea and their mixture is significantly difference with diabetic rats which were administered by water. Blood glucose level at baseline increased at 30<sup>th </sup>minutes and showed the difference significantly and then until 60<sup>th</sup> and 120<sup>th</sup> minutes and relatively stable. During 120 minutes after feed consumption, inhibition of blood glucose level occured increasingly on diabetic rats which were administered by green tea, mullberry leaf tea, and their mixture compared to diabetic rats which were administered by water.</span></p>

Anti-diabetic activity of diphenhydramine in diabetic rats

2020 ◽  
Vol 11 (4) ◽  
pp. 5067-5070
Author(s):  
Pang Jyh Chayng ◽  
Nurul Ain ◽  
Kaswandi Md Ambia ◽  
Rahim Md Noah
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Fasting Blood Glucose ◽  
Insulin Level ◽  
Diabetic Rats ◽  
Group Iv ◽  
Diabetic Rat ◽  
Control Group ◽  
Group I

The purpose of this project is to study the anti-diabetic effect of on a diabetic rat model. A total of Twenty male Sprague rats were used and it randomly distributed into four groups which are Group I: , Group II: negative control, Group III: and Group IV: and . In diabetic model were induced with via injection at the dosage of 65mg/kg. and FBG (Fasting Blood Glucose) level of diabetic rats were assessed every three days. Blood was collected via cardiac puncture at day 21 after the induction of treatment. Insulin level of the rats was assessed with the Mercodia Rat Insulin ELISA kit. FBG level of group I (12.16 ±3.96, p&lt;0.05) and group IV (11.34 ±3.67, p&lt;0.05) were significantly decreased. Meanwhile, the for all rats did not show any significant increase. However, the insulin level was escalated in group IV (0.74+0.25, p&lt;0.05) significantly. The present study shows that the and the combination of and lowered blood glucose level and enhanced insulin secretion.

Preparation and Evaluation of Glipizide Tablets Containing both Enhanced and Sustained Release Solid Dispersions

1970 ◽  
Vol 2 (4) ◽  
pp. 714-725
Author(s):  
Adel M. Aly ◽  
Ahmed S. Ali
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Solid Dispersions ◽  
Solvent Evaporation ◽  
In Vivo Studies ◽  
Solvent Evaporation Method ◽  
Evaporation Method ◽  
Tablet Formulations

: Glipizide (GZ) is an oral blood-glucose-lowering drug of the sulfonylurea class characterized by its poor aqueous solubility. Aiming for the production of GZ tablets with rapid onset of action followed by prolonged effect; GZ-Polyethylene glycol (PEG 4000 and 6000) solid dispersions with different ratios, (using melting and solvent evaporation method), as well as, coprecipitate containing GZ with polymethyl-methacrylate (PMMA) were prepared. Four tablet formulations were prepared containing; a) GZ alone, b) GZ: PEG6000, 1:10, c) GZ:PMMA 1:3, and, d)both GZ:PEG6000 1:10 and GZ:PMMA 1:3. The solvent evaporation method showed more enhancement of GZ solubility than the melting one, and this solubilizing effect increased with PEG increment. Generally, PEG6000 showed more enhancement of dissolution than PEG4000 especially at 1:10 drug: polymer ratio (the most enhancing formula). Also, the prepared tablet formulations showed acceptable physical properties according to USP/NF requirements. The dissolution results revealed that tablets containing PEG6000 (1:10) have the most rapid release rate, followed by the formula containing both PEG6000 and PMMA, while that including PMMA alone showed the slowest dissolution rate. Moreover, In-vivo studies for each of the above four formulations, were performed using four mice groups. The most effective formula in decreasing the blood glucose level, through the first 6 hours, was that containing GZ and PEG6000, 1:10. However, formula containing the combination of enhanced and sustained GZ was the most effective in decreasing the blood glucose level through 16 hours. Successful in-vitro in-vivo correlations could be detected between the percent released and the percent decreasing of blood glucose level after 0.5 hours.

Glucose Levels and Outcome After Primary Intraventricular Hemorrhage

2019 ◽  
Vol 16 (1) ◽  
pp. 40-46
Author(s):  
Rui Guo ◽  
Ruiqi Chen ◽  
Chao You ◽  
Lu Ma ◽  
Hao Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Incidence Rate ◽  
Glucose Level ◽  
Intraventricular Hemorrhage ◽  
Laboratory Data ◽  
History Of ◽  
Poor Outcomes ◽  
The Impact

Background and Purpose: Hyperglycemia is reported to be associated with poor outcome in patients with spontaneous Intracerebral Hemorrhage (ICH), but the association between blood glucose level and outcomes in Primary Intraventricular Hemorrhage (PIVH) remains unclear. We sought to identify the parameters associated with admission hyperglycemia and analyze the impact of hyperglycemia on clinical outcome in patients with PIVH. Methods: Patients admitted to Department of Neurosurgery, West China Hospital with PIVH between 2010 and 2016 were retrospectively included in our study. Clinical, radiographic, and laboratory data were collected. Univariate and multivariate logistic regression analyses were used to identify independent predictors of poor outcomes. Results: One hundred and seventy patients were included in the analysis. Mean admission blood glucose level was 7.78±2.73 mmol/L and 10 patients (5.9%) had a history of diabetes mellitus. History of diabetes mellitus (P = 0.01; Odds Ratio [OR], 9.10; 95% Confidence Interval [CI], 1.64 to 50.54) was independent predictor of admission critical hyperglycemia defined at 8.17 mmol/L. Patients with admission critical hyperglycemia poorer outcome at discharge (P < 0.001) and 90 days (P < 0.001). After adjustment, admission blood glucose was significantly associated with discharge (P = 0.01; OR, 1.30; 95% CI, 1.06 to 1.59) and 90-day poor outcomes (P = 0.03; OR, 1.27; 95% CI, 1.03 to 1.58), as well as mortality at 90 days (P = 0.005; OR, 1.41; 95% CI, 1.11 to 1.78). In addition, admission critical hyperglycemia showed significantly increased the incidence rate of pneumonia in PIVH (P = 0.02; OR, 6.04; 95% CI 1.27 to 28.80) even after adjusting for the confounders. Conclusion: Admission blood glucose after PIVH is associated with discharge and 90-day poor outcomes, as well as mortality at 90 days. Admission hyperglycemia significantly increases the incidence rate of pneumonia in PIVH.

Synthesis, Characterization and in vivo Evaluation of PEGylated PPI Dendrimer for Safe and Prolonged Delivery of Insulin

2019 ◽  
Vol 9 (3) ◽  
pp. 248-263 ◽  
Author(s):  
Ashish K. Parashar ◽  
Preeti Patel ◽  
Arun K. Gupta ◽  
Neetesh K. Jain ◽  
Balak Das Kurmi
Keyword(s):  
Blood Glucose ◽  
Drug Release ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Albino Rats ◽  
Sustained Delivery ◽  
In Vivo Evaluation ◽  
Hemolytic Toxicity

Background: The present study was aimed at developing and exploring the use of PEGylated Poly (propyleneimine) dendrimers for the delivery of an anti-diabetic drug, insulin. Methods: For this study, 4.0G PPI dendrimer was synthesized by successive Michael addition and exhaustive amidation reactions, using ethylenediamine as the core and acrylonitrile as the propagating agent. Two different activated PEG moieties were employed for PEGylation of PPI dendrimers. Various physicochemical and physiological parameters UV, IR, NMR, TEM, DSC, drug entrapment, drug release, hemolytic toxicity and blood glucose level studies of both PEGylated and non- PEGylated dendritic systems were determined and compared. Results: PEGylation of PPI dendrimers caused increased solubilization of insulin in the dendritic framework as well as in PEG layers, reduced drug release and hemolytic toxicity as well as increased therapeutic efficacy with reduced side effects of insulin. These systems were found to be suitable for sustained delivery of insulin by in vitro and blood glucose-level studies in albino rats, without producing any significant hematological disturbances. Conclusion: Thus, surface modification of PPI dendrimers with PEG molecules has been found to be a suitable approach to utilize it as a safe and effective nano-carrier for drug delivery.

scholarly journals Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning

2021 ◽  
Vol 11 (2) ◽  
pp. 618
Author(s):  
Tanvir Tazul Islam ◽  
Md Sajid Ahmed ◽  
Md Hassanuzzaman ◽  
Syed Athar Bin Amir ◽  
Tanzilur Rahman
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Quantitative Estimation ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Support Vector ◽  
Frequency Noise ◽  
Optical Noise

Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small droplet of blood is extracted and passed to a glucometer—however, this process is uncomfortable for the patient. In this paper, a smartphone video-based noninvasive technique is proposed for the quantitative estimation of glucose levels in the blood. The videos are collected steadily from the tip of the subject’s finger using smartphone cameras and subsequently converted into a Photoplethysmography (PPG) signal. A Gaussian filter is applied on top of the Asymmetric Least Square (ALS) method to remove high-frequency noise, optical noise, and motion interference from the raw PPG signal. These preprocessed signals are then used for extracting signal features such as systolic and diastolic peaks, the time differences between consecutive peaks (DelT), first derivative, and second derivative peaks. Finally, the features are fed into Principal Component Regression (PCR), Partial Least Square Regression (PLS), Support Vector Regression (SVR) and Random Forest Regression (RFR) models for the prediction of glucose level. Out of the four statistical learning techniques used, the PLS model, when applied to an unbiased dataset, has the lowest standard error of prediction (SEP) at 17.02 mg/dL.

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