We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Transformed Intestinal Cells Produce Insulin in Novel Diabetes Treatment

By LabMedica International staff writers
Posted on 25 Mar 2014
Print article
Image: Insulin-expressing cells (red) arising within the intestinal crypts (green) of a mouse that received three beta-cell “reprogramming factors” (Photo courtesy of Dr. Ben Stanger, University of Pennsylvania).
Image: Insulin-expressing cells (red) arising within the intestinal crypts (green) of a mouse that received three beta-cell “reprogramming factors” (Photo courtesy of Dr. Ben Stanger, University of Pennsylvania).
A population of intestinal cells was found to be capable of morphing into insulin-producing beta-cells, which may pave the way a novel treatment for diabetes.

Type I diabetes mellitus, also known as insulin dependent diabetes, is believed to be caused by an autoimmune response where the body's own immune system attacks the beta cells and destroys them. The body can no longer produce and secrete insulin into the blood and fails to regulate the blood glucose concentration.

Investigators at the University of Pennsylvania (Philadelphia, USA) had shown previously that introduction of three beta-cell transcription factors—Pdx1 (P), MafA (M), and Ngn3 (N) [collectively called PMN] into the acinar cells of the pancreas could cause these cells to transform into insulin-producing beta-like cells.

In the current study, the investigators sought other readily available cell types that could be transformed into beta-like cells. To this end they performed an in vivo screen by expressing the three beta cell “reprogramming factors” in a wide spectrum of tissues.

They reported in the March 6, 2014, online edition of the journal Cell Reports that in a mouse model the transient expression of PMN in intestinal cells promoted the rapid conversion of intestinal crypt cells into endocrine cells, which coalesced into “neoislets” below the crypt base. Neoislet cells expressed insulin and showed ultrastructural features of beta cells. Importantly, intestinal neoislets were glucose-responsive and able to ameliorate hyperglycemia in diabetic mice. Furthermore, PMN expression in human intestinal “organoids” stimulated the conversion of intestinal epithelial cells into beta-like cells.

“Our results demonstrate that the intestine could be an accessible and abundant source of functional insulin-producing cells,” said senior author Dr. Ben Z. Stanger, assistant professor of medicine at the University of Pennsylvania. “Our ultimate goal is to obtain epithelial cells from diabetes patients who have had endoscopies, expand these cells, add PMN to them to make beta-like cells, and then give them back to the patient as an alternate therapy. There is a long way to go for this to be possible, including improving the functional properties of the cells, so that they more closely resemble beta cells, and figuring out alternate ways of converting intestinal cells to beta-like cells without gene therapy.”

“It is a powerful idea that if you have the right combination of transcription factors you can make any cell into any other cell. It is cellular alchemy,” said Dr. Stanger.

Related Links:

University of Pennsylvania


Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Systemic Autoimmune Testing Assay
BioPlex 2200 ANA Screen with MDSS

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Molecular Diagnostics

view channel
Image: AI analysis of DNA fragmentomes and protein biomarkers noninvasively detects ovarian cancer (Photo courtesy of Adobe Stock)

Blood-Based Machine Learning Assay Noninvasively Detects Ovarian Cancer

Ovarian cancer is one of the most common causes of cancer deaths among women and has a five-year survival rate of around 50%. The disease is particularly lethal because it often doesn't cause symptoms... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The groundbreaking treatment approach has shown promise in hard-to-treat cancers (Photo courtesy of 123RF)

Genetic Testing Combined With Personalized Drug Screening On Tumor Samples to Revolutionize Cancer Treatment

Cancer treatment typically adheres to a standard of care—established, statistically validated regimens that are effective for the majority of patients. However, the disease’s inherent variability means... Read more

Pathology

view channel
Image: The device can serve as a sample pretreatment tool for cytological diagnosis of malignant effusions (Photo courtesy of Microsystems & Nanoengineering: Zhu, Z., Ren, H., Wu, D. et al.)

Microfluidic Device for Cancer Detection Precisely Separates Tumor Entities

Tumor cell clusters are increasingly recognized as crucial in cancer pathophysiology, with growing evidence of their increased resistance to treatment and higher metastatic potential compared to single tumor cells.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.