Denise E Kirschner: Influence Statistics

Denise E Kirschner

Denise E Kirschner

Department of Microbiology and Immunology, University of Michigan Medical School, 1150 W Medical Center Drive, 5641 Medical Science II, Ann Arbor, MI 48109-5620. Electronic ...

Denise E Kirschner: Expert Impact

Concepts for which Denise E Kirschner has direct influence: Mycobacterium tuberculosis , Antigen presentation , Granuloma formation , Immune response , Tuberculosis infection , Lung granulomas , Lymph node .

Denise E Kirschner: KOL impact

Concepts related to the work of other authors for which for which Denise E Kirschner has influence: Mycobacterium tuberculosis , Mathematical model , Hiv infection , Immune response , Optimal control , Helicobacter pylori , Sensitivity analysis .

KOL Resume for Denise E Kirschner

Year
2022

Department of Microbiology and Immunology, University of Michigan Medical School, 1150 W Medical Center Drive, 5641 Medical Science II, Ann Arbor, MI 48109-5620. Electronic address:

2021

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, United States; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States. Electronic address:

2020

University of Michigan Medical School.

2019

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109.

University of Michigan Medical School, Ann Arbor, MI, USA

2018

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA

2017

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, United States of America

2015

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA

2014

Dept. of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA

2013

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109;

2012

Department of Microbiology and Immunology, University of Michigan Medical School, 48109, Ann Arbor, MI, USA

2011

Department of Microbiology and Immunology, University of Michigan Medical School, USA

2010

Department of Microbiology and Immunology, 6730 Medical Science Building II, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA

Center for Computational Medicine and Bioinformatics, and

2009

Department of Microbiology and Immunology, 6730 Medical Science Bldg. II, University of Michigan Medical School, Ann Arbor, MI, USA

2008

Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan 48909

Program in Bioinformatics

2007

Center for Computational Medicine and Biology, University of Michigan, Ann Arbor, MI, USA.

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA

2006

5Department of Biomedical Engineering, University of MichiganAnn Arbor, MI, USA

Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI 48109;

2005

Department of Microbiology and Immunology, University of Michigan Medical School, 6730 Medical Science Building II, Ann Arbor, MI 48109-0620; and

2004

Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA

2003

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 49109, USA

2002

Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, Michigan 48109

2001

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109-0620

2000

Dept of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA

*Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, Michigan; †Department of Mathematics, Vanderbilt University, Nashville, Tennessee; and ‡Department of Microbiology and Immunology, The University of Texas Medical Branch, Galveston, Texas, U.S.A.

1999

Department of Microbiology and Immunology, The University of Michigan Medical School, 6730 Medical Science Building II, Ann Arbor, Michigan, 48109-0620, f1E-mail:

1998

Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA, US

1997

Department of Mathematics, Texas A and M University, College Station, TX 77843, USA e-mail: US

1996

Department of Medicine Division of Infectious Diseases, Vanderbilt University School of Medicine, 37240, Nashville, TN, USA

1995

Department of Mathematics, Texas A & M University, College Station, TX 77843-3368, U.S.A.

1993

Department of Mathematics, Vanderbilt University, Nashville, Tennessee, USA

Prominent publications by Denise E Kirschner

KOL-Index: 11612 . Macrophages in granulomas are both antimycobacterial effector and host cell for Mycobacterium tuberculosis, yet basic aspects of macrophage diversity and function within the complex structures of granulomas remain poorly understood. To address this, we examined myeloid cell phenotypes and expression of enzymes correlated with host defense in macaque and human granulomas. Macaque granulomas ...
Known for Nitric Oxide | Tuberculous Granulomas | Macrophage Subsets | Host Cell
KOL-Index: 11570 . Lung granulomas are the pathologic hallmark of tuberculosis (TB). T cells are a major cellular component of TB lung granulomas and are known to play an important role in containment of Mycobacterium tuberculosis (Mtb) infection. We used cynomolgus macaques, a non-human primate model that recapitulates human TB with clinically active disease, latent infection or early infection, to ...
Known for Tuberculosis Granuloma | Cell Responses | Bacterial Burden | Inflammatory Cytokines
KOL-Index: 11218 . Multiple immune factors control host responses to Mycobacterium tuberculosis infection, including the formation of granulomas, which are aggregates of immune cells whose function may reflect success or failure of the host to contain infection. One such factor is TNF-α. TNF-α has been experimentally characterized to have the following activities in M. tuberculosis infection: macrophage ...
Known for Granuloma Formation | Computational Model | Tuberculosis Infection | Tnf Α
KOL-Index: 11094 . We examine a model for the interaction of HIV with CD4+ T cells that considers four populations: uninfected T cells, latently infected T cells, actively infected T cells, and free virus. Using this model we show that many of the puzzling quantitative features of HIV infection can be explained simply. We also consider effects of AZT on viral growth and T-cell population dynamics. The model ...
Known for Hiv Infection | Infected Cells | Free Virus | Viral Growth
KOL-Index: 9497 . Mycobacterium tuberculosis is one of the world's most deadly human pathogens; an integrated understanding of how it successfully survives in its host is crucial to developing new treatment strategies. One notable characteristic of infection with M. tuberculosis is the formation of granulomas, aggregates of immune cells whose structure and function may reflect success or failure of the host ...
Known for Mycobacterium Tuberculosis | Host Infection | Macrophage Activation | Computational Model
KOL-Index: 9455 . Tuberculosis (TB), caused by Mycobacterium tuberculosis, continues to be a major global health problem. Lung granulomas are organized structures of host immune cells that function to contain the bacteria. Cytokine expression is a critical component of the protective immune response, but inappropriate cytokine expression can exacerbate TB. Although the importance of proinflammatory ...
Known for Lymph Nodes | Lung Granulomas | Tuberculosis Infection | Immune Response
KOL-Index: 9140 . Previous experimental studies suggest that Mycobacterium tuberculosis inhibits a number of macrophage intracellular processes associated with antigen presentation, including antigen processing, MHC class II expression, trafficking of MHC class II molecules, and peptide-MHC class II binding. In this study, we investigate why multiple mechanisms have been observed. Specifically, we consider ...
Known for Antigen Presentation | Mycobacterium Tuberculosis | Mhc Class | Sensitivity Analysis
KOL-Index: 9020 . Mathematical analysis is carried out that completely determines the global dynamics of a mathematical model for the transmission of human T-cell lymphotropic virus I (HTLV-I) infection and the development of adult T-cell leukemia (ATL). HTLV-I infection of healthy CD4(+) T cells takes place through cell-to-cell contact with infected T cells. The infected T cells can remain latent and ...
Known for Global Dynamics | Mathematical Analysis | Infected Cells | Atl Progression
KOL-Index: 8828 . Tuberculosis (TB) granulomas are organized collections of immune cells comprised of macrophages, lymphocytes and other cells that form in the lung as a result of immune response to Mycobacterium tuberculosis (Mtb) infection. Formation and maintenance of granulomas are essential for control of Mtb infection and are regulated in part by a pro-inflammatory cytokine, tumor necrosis ...
Known for Tuberculosis Granuloma | Tumor Necrosis | Immune Cells | Mtb Infection
KOL-Index: 8745 . Interleukin-10 (IL-10) and tumor necrosis factor-α (TNF-α) are key anti- and pro-inflammatory mediators elicited during the host immune response to Mycobacterium tuberculosis (Mtb). Understanding the opposing effects of these mediators is difficult due to the complexity of processes acting across different spatial (molecular, cellular, and tissue) and temporal (seconds to years) scales. We ...
Known for Tuberculosis Infection | Necrosis Factor | Modeling Predicts | Tnf Α
KOL-Index: 8733 . Pulmonary infections and dysfunction are frequent outcomes during the development of immunodeficiency associated with human immunodeficiency virus type 1 (HIV-1) infection, and obtaining a better understanding of the immunologic changes that occur in lungs following HIV-1 infection will provide a foundation for the development of further intervention strategies. We sought here to identify ...
Known for Lung Tissues | Simian Immunodeficiency | Virus Infection | Increased Expression
KOL-Index: 8697 . Infection with Mycobacterium tuberculosis is a major world health problem. An estimated 2 billion people are presently infected and the disease causes approximately 3 million deaths per year. After bacteria are inhaled into the lung, a complex immune response is triggered leading to the formation of multicellular structures termed granulomas. It is believed that the collection of host ...
Known for Granuloma Formation | Immunological Mycobacterium | Tuberculosis Infection | Agentbased Model
KOL-Index: 8432 . Tuberculosis is a worldwide health problem with 2 billion people infected with Mycobacterium tuberculosis (Mtb, the bacteria causing TB). The hallmark of infection is the emergence of organized structures of immune cells forming primarily in the lung in response to infection. Granulomas physically contain and immunologically restrain bacteria that cannot be cleared. We have developed ...
Known for Granuloma Formation | Lung Lymph Node | Mycobacterium Tuberculosis | Immune Cells
KOL-Index: 8404 . The human thymus exports newly generated T cells to the periphery. As no markers have been identified for these recent thymic emigrants (RTE), it is presently impossible to measure human thymic output. T cell receptor excision circles (TREC) have been recently used to assess thymic output during both health and disease. Using a mathematical model, we quantify age-dependent changes both in ...
Known for Thymic Emigrants | Immunological Receptors | Cell Receptor | Excision Circles
KOL-Index: 8352 . During most infections, the population of immune cells known as macrophages are key to taking up and killing bacteria as an integral part of the immune response. However, during infection with Mycobacterium tuberculosis (Mtb), host macrophages serve as the preferred environment for mycobacterial growth. Further, killing of Mtb by macrophages is impaired unless they become activated. ...
Known for Mycobacterium Tuberculosis | Mtb Macrophages | Negative Feedback | Immune Cells

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Department of Microbiology and Immunology, University of Michigan Medical School, 1150 W Medical Center Drive, 5641 Medical Science II, Ann Arbor, MI 48109-5620. Electronic address: kirschne@umich.edu. | University of Michigan Medical School - Depart