Biology subjects

Leber, A.

Publications and source records attributed to Leber, A..

3 recordsLinked to original sources

bioRxiv2019

Identification of regulatory genes through global gene expression analysis of a Helicobacter pylori co-culture system

Helicobacter pylori is a gram-negative bacterium that establishes life-long infections by inducing immunoregulatory responses. We have developed a novel ex vivo H. pylori co-culture system to identify new regulatory genes based on expression kinetics overlapping with that of genes with known regulatory functions. Using this novel experimental platform, in combination with global transcriptomic analysis, we have identified five lead candidates, validated them using mouse models of H. pylori infection and in vitro co-cultures under pro-inflammatory conditions. Plexin domain containing 2 (Plxdc2) was selected as the top lead immunoregulatory target. Gene silencing and ligand-induced activation studies confirmed its predicted regulatory function. Our integrated bioinformatics analyses and experimental validation platform has enabled the discovery of new immunoregulatory genes. This pipeline can be used for the identification of genes with therapeutic applications for treating infectious, inflammatory, and autoimmune diseases.

immunology↗

bioRxiv2018

Latent-Based Imputation of Laboratory Measures from Electronic Health Records: Case for Complex Diseases

Imputation is a key step in Electronic Health Records-mining as it can significantly affect the conclusions derived from the downstream analysis. There are three main categories that explain the missingness in clinical settings-incompleteness, inconsistency, and inaccuracy-and these can capture a variety of situations: the patient did not seek treatment, the health care provider did not enter the information, etc. We used EHR data from patients diagnosed with Inflammatory Bowel Disease from Geisinger Health System to design a novel imputation that focuses on a complex phenotype. Our approach is based on latent-based analysis integrated with clustering to group patients based on their comorbidities before imputation. IBD is a chronic illness of unclear etiology and without a complete cure. We have taken advantage of the complexity of IBD to pre-process the EHR data of 10,498 IBD patients and show that imputation can be improved using shared latent comorbidities. The R code and sample simulated input data will be available at a future time.

bioinformatics↗

bioRxiv2017

Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies

Health-care and public health professionals rely on accurate, real-time monitoring of infectious diseases for outbreak preparedness and response. Early detection of outbreaks is improved by systems that are pathogen-specific. We describe a system, FilmArray(R) Trend, for rapid disease reporting that is syndrome-based but pathogen-specific. Results from a multiplex molecular diagnostic test are sent directly to a cloud database. www.syndromictrends.com presents these data in near real-time. Trend preserves patient privacy by removing or obfuscating patient identifiers. We summarize the respiratory pathogen results, for 20 organisms from 344,000 patient samples acquired as standard of care testing over the last four years from 20 clinical laboratories in the United States. The majority of pathogens show influenza-like seasonality, rhinovirus has fall and spring peaks and adenovirus and bacterial pathogens show constant detection over the year. Interestingly, the rate of pathogen co-detections, on average 7.7%, matches predictions based on the relative abundance of organisms present.

epidemiology↗