Publications by authors named "Alex Camai"

Article Synopsis
  • * Research shows that blocking CXCR2 can slow tumor growth, but neutrophils are still recruited to tumors; instead, the inhibitors modify how neutrophils work, preventing them from turning into immune suppressive cells that inhibit lymphocyte activity.
  • * Clinical trials are ongoing to test the effectiveness of CXCR1/2 inhibitors in combination with ICIs, and findings indicate these treatments do not lead to increased infection risks despite impacting neutrophil function.
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Objective: Positive antinuclear antibodies (ANAs) cause diagnostic dilemmas for clinicians. Currently, no tools exist to help clinicians interpret the significance of a positive ANA in individuals without diagnosed autoimmune diseases. We developed and validated a risk model to predict risk of developing autoimmune disease in positive ANA individuals.

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Late-onset systemic lupus erythematosus (LO-SLE) is defined as SLE diagnosed at age 50 years or later. Current studies on LO-SLE are small and have conflicting results. Using a large, electronic health record (EHR)-based cohort of SLE individuals, we compared demographics, disease characteristics, SLE-specific antibodies, and medication prescribing practices in LO ( = 123) vs.

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Objective: Systemic lupus erythematosus (SLE) poses diagnostic challenges. We undertook this study to evaluate the utility of a phenotype risk score (PheRS) and a genetic risk score (GRS) to identify SLE individuals in a real-world setting.

Methods: Using a de-identified electronic health record (EHR) database with an associated DNA biobank, we identified 789 SLE cases and 2,261 controls with available MEGA genotyping.

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Modern technologies designed for tissue structure visualization like brightfield microscopy, fluorescent microscopy, mass cytometry imaging (MCI) and mass spectrometry imaging (MSI) provide large amounts of quantitative and spatial information about cells and tissue structures like vessels, bronchioles etc. Many published reports have demonstrated that the structural features of cells and extracellular matrix (ECM) and their interactions strongly predict disease development and progression. Computational image analysis methods in combination with spatial analysis and machine learning can reveal novel structural patterns in normal and diseased tissue.

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Article Synopsis
  • The study examined trends in medication use and pregnancy outcomes for women with systemic lupus erythematosus (SLE) using a database of over 3.2 million patients from 1989 to 2020.
  • Despite seeing some increase in the use of hydroxychloroquine, the rates of complications like preterm delivery and preeclampsia were significantly higher in SLE pregnancies compared to the general population, with no observed improvements over time.
  • The findings highlight the ongoing need for better education and care strategies to address adverse pregnancy outcomes for women with SLE.
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SummaryPatients with systemic lupus erythematosus (SLE) have an increased risk of developing osteoporosis and fractures due to systemic inflammation and glucocorticoids (GCs). Professional organizations recommend bone mineral density (BMD) testing in SLE patients on GCs, especially within 6 months of initiation. Using a validated algorithm, we identified SLE patients in an electronic health record cohort with long-term GC exposure (≥90 days).

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