Viral-induced Modulation of Multiple Checkpoint Proteins in Cancers.

Therapy with checkpoint inhibitors represents a major advance in cancer treatment. The purpose of this study was to examine the expression patterns of the checkpoint proteins programmed death ligand 1 (PD L1), PD L2, indoleamine 2,3-dioxygenase 1 (IDO1), and cytotoxic T-lymphocyte antigen 4 (CTLA4) in cancers including those associated with viral infections. Normal, noninflamed tissues rarely express checkpoint proteins with exceptions including the placenta and stomach.

Idiopathic pulmonary fibrosis is strongly associated with productive infection by herpesvirus saimiri.

Idiopathic pulmonary fibrosis is a fatal disease without effective therapy or diagnostic test. To investigate a potential role for γ-herpesviruses in this disease, 21 paraffin-embedded lung biopsies from patients diagnosed with idiopathic pulmonary fibrosis and 21 lung biopsies from age-matched controls with pulmonary fibrosis of known etiology were examined for a series of γ-herpesviruses' DNA/RNA and related proteins using in situ hybridization and reverse transcriptase-polymerase chain reaction (RT-PCR)-based methods. We detected four proteins known to be in the genome of several γ-herpesviruses (cyclin D, thymidylate synthase, dihydrofolate reductase, and interleukin-17) that were strongly co-expressed in the regenerating epithelial cells of each of the 21 idiopathic pulmonary fibrosis cases and not in the benign epithelia of the controls.

The distribution of immunomodulatory cells in the lungs of patients with idiopathic pulmonary fibrosis.

We have characterized the immune system involvement in the disease processes of idiopathic pulmonary fibrosis in novel ways. To do so, we analyzed lung tissue from 21 cases of idiopathic pulmonary fibrosis and 21 (non-fibrotic, non-cancerous) controls for immune cell and inflammation-related markers. The immunohistochemical analysis of the tissue was grouped by patterns of severity in disease pathology.

Using an agent-based model to analyze the dynamic communication network of the immune response.

Background: The immune system behaves like a complex, dynamic network with interacting elements including leukocytes, cytokines, and chemokines. While the immune system is broadly distributed, leukocytes must communicate effectively to respond to a pathological challenge. The Basic Immune Simulator 2010 contains agents representing leukocytes and tissue cells, signals representing cytokines, chemokines, and pathogens, and virtual spaces representing organ tissue, lymphoid tissue, and blood.

The Basic Immune Simulator: an agent-based model to study the interactions between innate and adaptive immunity.

Background: We introduce the Basic Immune Simulator (BIS), an agent-based model created to study the interactions between the cells of the innate and adaptive immune system. Innate immunity, the initial host response to a pathogen, generally precedes adaptive immunity, which generates immune memory for an antigen. The BIS simulates basic cell types, mediators and antibodies, and consists of three virtual spaces representing parenchymal tissue, secondary lymphoid tissue and the lymphatic/humoral circulation.