scholarly journals An Intelligent Nanoscale Insulin Delivery System

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 2945 ◽  
Author(s):  
Wei Wang ◽  
Ling Liao ◽  
Xiaobing Zhang ◽  
Fan Lei ◽  
Yaou Zhang ◽  
...  

Insulin injection relies on strict blood glucose monitoring. However, existing techniques and algorithms for blood glucose monitoring cannot be completed in a timely way. In this study, we have developed a new intelligent glucose-sensitive insulin delivery system to stabilize blood glucose levels in the body. This system does not require real-time detection of blood glucose. First, we successfully synthesized a nanoscale material called PAM-PAspPBA-b-PEG by using chemical methods. We then conducted TEM, DLS, and 1H-NMR analyses to characterize the physicochemical properties, such as size, molecular composition, and configuration of the nanomaterial. We verified the glucose responsibility of the insulin loading nanoscale material in vitro and evaluated its safety and effect on mice in vivo. Results showed that insulin-loaded PAM-PAspPBA-b-PEG is glucose-sensitive, safer and more effective than regular insulin injection. This study provides a basis for future development of smart insulin delivery systems.

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 136-OR
Author(s):  
MERYEM K. TALBO ◽  
VIRGINIE MESSIER ◽  
KATHERINE DESJARDINS ◽  
RÉMI RABASA-LHORET ◽  
ANNE-SOPHIE BRAZEAU ◽  
...  

Doctor Ru ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 11-20
Author(s):  
A.V. Andreeva ◽  
◽  
T.N. Markova ◽  
M.B. Antsiferov ◽  
◽  
...  

Objective of the Review: To systematise the information on the incidence of diabetes mellitus (DM) in patients who had the novel coronavirus infection; on the features of virus mechanism activation and pathological cascades in the body; on potential ways to control blood glucose during COVID-19. Key Points. During the novel coronavirus pandemic (COVID-19) associated with high death toll in all countries, specific groups of patients were identified, where the death rate was higher than the mean figures. These groups include DM patients. DM is associated with a high risk of severe coronavirus infection and is the second common comorbidity during COVID-19. DM, degree of its compensation and complications progression impact prognosis, coronavirus infection clinical course and survival. Therefore, effective teamwork of the healthcare professionals and patient is essential. The primary objective of coordination is creation of a clear algorithm of DM management during COVID-19: strict blood glucose monitoring and prompt intensification both of antihyperglycemic therapy and specific ethiopathogenetic management of COVID-19. Conclusion. DM patients require special attention and timely adequate assistance both in outpatient and inpatient settings. Long-term follow-up of DM patients after COVID-19 to minimise the risk of DM complications is also very important. Keywords: COVID-19, diabetes mellitus, novel coronavirus infection.


2020 ◽  
Vol 218 ◽  
pp. 04029
Author(s):  
Yingqiang Wu ◽  
Guo Wu ◽  
Pengcheng Fu ◽  
Meng Hu

This study is based on our iGEM (international genetically engineered machine) 2019 competition project in which an in vitro model was established to simulate the human monitoring and regulation of blood glucose level using the “liver-on-a-chip” and a genetically engineered bacterium capable of producing proinsulin efficiently. The microfluidic device is able to accommodate cellular chassis loaded with biological parts for diabetic treatment. In addition, electrochemical biosensors were designed to detect the differential glucose concentration from the both chambers of the organ chip. The model can test different chemicals and organs, when the components in the channels and cells are altered. We have thus accomplished an in vitro model of how the proinsulin generated by engineered bacteria works on liver cells. In the near future, our research paradigm will be shifted to bacterial implantation in the human intestines to replace pancreas for the automatic secretion of insulin for diabetic patients.


Blood sugar in the body is called glucose and it is important that the amount of sugar in the blood is fairly maintained. The body has sugar and blood that is used to store energy in the body. Low or high blood sugar is dangerous to life if it is not treated. The fasting blood glucose level in the morning ranges between 70 mg/dL to 110 mg/dL, after the meal the blood glucose should be less than 140 mg/dL. This paper proposes a method that is best suited to detect blood glucose in the human body and avoid serious health issues by sending a message instantly to the respective number of the patient. Currently, in market Blood Glucose Monitoring (BGM) techniques are vigorous and painful as the blood sample is pricked from the finger that leads to the risk of infection, the strips that were being used were also costly. The solution to this problem statement is a design of non-invasive smart equipment for observing the blood glucose level. One non-invasive method is Red Laser (RL) BGM technique, that is very superior to the other invasive method and non-invasive techniques. Here the refractive index of the laser light is analyzed to determine the blood glucose level. Several tests and experimental results are generated to prove the proposed method is highly accurate.


Sign in / Sign up

Export Citation Format

Share Document