Publications by authors named "Marc Gottschall"
Article Synopsis
- Current methods for diagnosing central nervous system (CNS) neoplasms using cerebrospinal fluid (CSF) cytology and flow cytometry are often inadequate, as these conditions can resemble infections or autoimmune diseases.
- The study aimed to evaluate the effectiveness of metagenomic next-generation sequencing (mNGS) for identifying aneuploidy in challenging cases of CNS malignant tumors.
- Two case-control studies at UCSF included a total of 130 participants, assessing mNGS performance compared to traditional testing, and sought to determine the sensitivity and specificity of detecting chromosomal abnormalities in patients with suspected neuroinflammatory conditions that turned out to be neoplasms.
Article Synopsis
- Metagenomic next-generation sequencing (mNGS) of body fluids is a new method aimed at detecting hidden infections and potential cancerous tumors in patients who remain undiagnosed.
- The study analyzed samples from two groups totaling 205 patients, comparing those diagnosed with malignancies and those with infections to assess the test's effectiveness in detecting cancer.
- The findings revealed that the test had a high sensitivity of 87% for confirmed malignancies and 100% specificity, showcasing its potential to identify cancer using the same test used for infectious disease diagnosis.
Background: Cytomegalovirus (CMV) infection is a risk factor for chronic lung allograft dysfunction (CLAD), which limits survival in lung allograft recipients. Natural killer (NK) cells that express the NKG2C receptor mediate CMV-specific immune responses. We hypothesized that NKG2C NK cells responding to CMV in the lung allograft would reduce CMV-related inflammation and would improve CLAD-free survival.
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