Andrea Braundmeier-Fleming, PhD

Assistant Professor

    About me

    Contact Information

    phone:  217.545.5226

    abraundmeier88@siumed.edu

    Dr. Braundmeier-Fleming is an Assistant Professor in the Department of Medical Microbiology, Immunology and Cell Biology and the Department of Obstetrics and Gynecology at SIU School of Medicine. She is also a faculty member of the Simmons Cancer Institute.

    Research Interests

    The immune system plays a significant role in reproductive processes such as embryonic implantation and fetal development but also in reproductive diseases and disorders. One of the major regulators of our immune system are the microbial organisms (bacteria, fungi and viruses) that reside within every tissue of our body. The overall goals of my research are to: 1) Understand the mechanisms of maternal immune suppression during early pregnancy, 2) Understand the regulation of immune cells in the development of gynecological and obstetrical conditions (ie. endometriosis, preeclampsia, and preterm birth), 3) Identify microbial communities and communication between these communities and the host immune system with reproductive disorders and 4) Utilizing multi-factorial data (clinical, biological and patient history) for development of personalized treatment strategies and diagnostics. Investigating the biocomplexity and communication between our immune, microbial and reproductive systems will translate into the development of complementary and alternative therapies for treatment of reproductive disorders. Research topics that I am currently developing are:

    • Dysregulation of immune cells in the onset of preterm birth.
    • Immune suppression in the development of ectopic endometrial lesions.
    • Modifying immune cell populations through dietary supplementation to enhance immune health.
    • The identification of the microbiome profiles of reproductive disorders and there potential for diagnostics and intervention strategies.

    Utilizing biomedical animal models, multi- disciplinary investigational approaches and current molecular and cellular biological techniques, I believe that knowledge gained from these proposals can quickly be translated and implemented into human and animal medicine.

    Molecular and Cellular Biological Techniques

    • Immune Cell Proliferation Assays
    • ELIZA’s
    • Quantitative PCR
    • Amplicon/ Metagenomic/ Metatranscriptomic Microbial Sequencing
    • Mammalian Cell Culture
    • Immunohistochemistry
    • SDS-PAGE
    • FACS
    • RNA interference
    • Microbiome Bioinformatics
    • Machine Learning

    Gender

    Female

    Education & training

    Undergraduate Degree
    2005-2009 NIH Postdoctoral Research Fellow, Ob/Gyn, Division of Reproductive Endocrinology and Infertility, School of Medicine, University of Illinois-Chicago
    2002-2005 Ph.D., Animal Sciences, University of Illinois at Urbana-Champaign
    1999-2002 M.S., Animal Sciences, University of Illinois at Urbana-Champaign
    1995-1999 B.S., Animal Sciences, University of Illinois at Urbana-Champaign

    Academic Location

    Academic Office

    801 N Rutledge St Springfield, IL 62702
    Mail Code: 9626

    Publications

    Selected Publications  Pub Med

    NCBI Public Bibliography

    Grants

    2018-2019                          Research Seed Grant, ADR, SIU School of Medicine

    PI                                         “Endometriosis pathophysiology: alteration of microbiome dynamics and immunosuppression”.

    2017-2019                          Endometriosis Foundation of America

    PI                                         “Endometriosis pathophysiology: alteration of microbiome dynamics and immunosuppression”.

    2017-2019                          Team Science Grant-Simmons Cancer Institute

    PI                                         “Machine learning approach for early detection and individualized treatment of ovarian cancer.

    2017-2019                          Department of Energy-Oak Ridge National Laboratory

    PI                                         “A Quantitative system Biology, Multi-omic approach to diagnose gynecological cancers”