The use of proteomics in identifying differentially expressed serum proteins in humans with type 2 diabetes
2006

Identifying Serum Proteins in Type 2 Diabetes

Sample size: 6 publication Evidence: low

Author Information

Author(s): Tea Sundsten, Michael Eberhardson, Michael Göransson, Peter Bergsten

Primary Institution: Uppsala University

Hypothesis

The study aimed to optimize protocols for finding and identifying serum proteins that are differentially expressed in persons with normal glucose tolerance compared to individuals with type 2 diabetes mellitus.

Conclusion

Protocols for protein profiling and identification were optimized, leading to the discovery of differentially expressed proteins in serum from individuals with type 2 diabetes.

Supporting Evidence

  • Fifteen proteins were found to be differentially expressed between normal glucose tolerance and type 2 diabetes.
  • Four proteins were identified as apolipoprotein C3, transthyretin, albumin, and transferrin.
  • The study used advanced mass spectrometry techniques to analyze serum samples.

Takeaway

The researchers looked at blood samples from people with diabetes and found some proteins that were different in those with diabetes compared to those without.

Methodology

Serum samples were analyzed using SELDI-TOF mass spectrometry to identify differentially expressed proteins.

Potential Biases

The small number of participants may introduce bias in the findings.

Limitations

The study had a small sample size, making it more of a case report than a definitive study.

Participant Demographics

The study included six participants, two women and four men, aged 54 to 65 years.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1477-5956-4-22

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication