Unknown

Dataset Information

0

Non inflammatory boronate based glucose-responsive insulin delivery systems.


ABSTRACT: Boronic acids, known to bind diols, were screened to identify non-inflammatory cross-linkers for the preparation of glucose sensitive and insulin releasing agglomerates of liposomes (Agglomerated Vesicle Technology-AVT). This was done in order to select a suitable replacement for the previously used cross-linker, ConcanavalinA (ConA), a lectin known to have both toxic and inflammatory effects in vivo. Lead-compounds were selected from screens that involved testing for inflammatory potential, cytotoxicity and glucose-binding. These were then conjugated to insulin-encapsulating nanoparticles and agglomerated via sugar-boronate ester linkages to form AVTs. In vitro, the particles demonstrated triggered release of insulin upon exposure to physiologically relevant concentrations of glucose (10 mmoles/L-40 mmoles/L). The agglomerates were also shown to be responsive to multiple spikes in glucose levels over several hours, releasing insulin at a rate defined by the concentration of the glucose trigger.

SUBMITTER: Dasgupta I 

PROVIDER: S-EPMC3260138 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

altmetric image

Publications

Non inflammatory boronate based glucose-responsive insulin delivery systems.

Dasgupta Indrani I   Tanifum Eric A EA   Srivastava Mayank M   Phatak Sharangdhar S SS   Cavasotto Claudio N CN   Analoui Mostafa M   Annapragada Ananth A  

PloS one 20120117 1


Boronic acids, known to bind diols, were screened to identify non-inflammatory cross-linkers for the preparation of glucose sensitive and insulin releasing agglomerates of liposomes (Agglomerated Vesicle Technology-AVT). This was done in order to select a suitable replacement for the previously used cross-linker, ConcanavalinA (ConA), a lectin known to have both toxic and inflammatory effects in vivo. Lead-compounds were selected from screens that involved testing for inflammatory potential, cyt  ...[more]

Similar Datasets

| S-EPMC8871697 | biostudies-literature
| S-EPMC5613292 | biostudies-literature
| S-EPMC8781467 | biostudies-literature
| S-EPMC8158166 | biostudies-literature
| S-EPMC7148115 | biostudies-literature
| S-EPMC8210813 | biostudies-literature
| S-EPMC5986559 | biostudies-literature
| S-EPMC7362448 | biostudies-literature
| S-EPMC5706739 | biostudies-literature
| S-EPMC7825127 | biostudies-literature