Cytokines Inducing Bone Marrow SCA+ Cells Migration into Pancreatic Islet and Conversion into Insulin-Positive Cells In Vivo
2009

Bone Marrow Cells and Insulin Production

Sample size: 6 publication 10 minutes Evidence: moderate

Author Information

Author(s): Luo LuGuang, John Z. Q. Luo, Xiong Fang, Abedi Mehrdad, Greer Deborah

Primary Institution: Center for Stem Cell Biology, Roger Williams Hospital, Providence, Rhode Island, United States of America

Hypothesis

Specific bone marrow lineages and cytokine treatment may facilitate bone marrow migration into islets, leading to a conversion into insulin producing cells in vivo.

Conclusion

The study suggests that certain bone marrow cell lineages and cytokine treatments are crucial for the migration and conversion of bone marrow into insulin-producing cells in pancreatic islets.

Supporting Evidence

  • Bone marrow transplantation can contribute to the recovery of islet β cell function.
  • Specific populations of bone marrow can be induced to form pancreatic islet β cells.
  • Cytokines can significantly influence bone marrow conversion into pancreatic islet cells.
  • The study found that the Sca+/Mac-1− lineage was the most effective for migration into islets.
  • Cytokine treatment for 48 hours was necessary for Sca+ cells to differentiate into insulin-positive cells.

Takeaway

Scientists found that special cells from bone marrow can move to the pancreas and turn into insulin-making cells, especially when treated with certain substances called cytokines.

Methodology

The study involved transplanting sorted bone marrow cells from GFP positive mice into irradiated GFP negative mice and evaluating their migration and conversion into insulin-positive cells.

Limitations

The study does not explore the mechanisms behind the migration and conversion of bone marrow cells into insulin-producing cells in detail.

Participant Demographics

C57BL/6-Tg (human ubiquitin C promoter-GFP) and BL6-Tg(ACTB-EGFP) mice were used as donors and recipients.

Statistical Information

P-Value

p<0.01

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1371/journal.pone.0004504

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