↓ Skip to main content

PLOS

Maternal Microchimerism: Increased in the Insulin Positive Compartment of Type 1 Diabetes Pancreas but Not in Infiltrating Immune Cells or Replicating Islet Cells

Overview of attention for article published in PLOS ONE, January 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
32 Mendeley
Title
Maternal Microchimerism: Increased in the Insulin Positive Compartment of Type 1 Diabetes Pancreas but Not in Infiltrating Immune Cells or Replicating Islet Cells
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0086985
Pubmed ID
Authors

Jody Ye, Marta Vives-Pi, Kathleen M. Gillespie

Abstract

Maternal microchimeric cells (MMc) transfer across the placenta during pregnancy. Increased levels of MMc have been observed in several autoimmune diseases including type 1 diabetes but their role is unknown. It has been suggested that MMc are 1) effector cells of the immune response, 2) targets of the autoimmune response or 3) play a role in tissue repair. The aim of this study was to define the cellular phenotype of MMc in control (n = 14) and type 1 diabetes pancreas (n = 8).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 28%
Student > Master 8 25%
Student > Doctoral Student 3 9%
Other 2 6%
Student > Ph. D. Student 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Medicine and Dentistry 14 44%
Agricultural and Biological Sciences 4 13%
Immunology and Microbiology 4 13%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 1 3%
Other 0 0%
Unknown 6 19%