Donald G. Catanzaro Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Assistant Professor

University of Arkansas at Fayetteville

faculty

21 h-index 55 pubs 1,954 cited

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Biography and Research Information

OverviewAI-generated summary

Donald G. Catanzaro's research focuses on the molecular diagnostics and understanding of tuberculosis (TB) infection. His work has investigated the detection of circulating cell-free DNA from Mycobacterium tuberculosis in adults and children, including those with HIV, and has explored the potential of circulating mitochondrial cell-free DNA as a biomarker for mycobacterial pulmonary infections.

His publications also address the identification of differentially recognized T cell epitopes within the spectrum of TB infection, aiming to better understand the immune response. Catanzaro has also worked on developing rapid diagnostic assays for TB and drug resistance, including an assay for isoniazid, rifampin, fluoroquinolone, kanamycin, capreomycin, and amikacin resistance. His research has incorporated machine learning algorithms for predicting TB treatment outcomes and understanding transcriptomic signatures associated with treatment in individuals at risk of developing active disease.

Catanzaro has a h-index of 21 and has authored 55 publications, which have been cited 1,954 times. He is designated as a highly cited researcher. He collaborates with Shengfan Zhang at the University of Arkansas at Fayetteville, with whom he has co-authored three publications.

Metrics

  • h-index: 21
  • Publications: 55
  • Citations: 1,954

Selected Publications

  • Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases (2025) DOI
  • Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases (2025) DOI
  • Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making (2025) DOI
  • Rapid tuberculosis diagnosis from respiratory or blood samples by a low cost, portable lab-in-tube assay (2025) DOI
  • Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova (2024) DOI
  • Prospective Exploratory Evaluation of Cepheid Xpert <i>Mycobacterium tuberculosis</i> Host Response Cartridge: A Focus on Adolescents and Young Adults (2024) DOI
  • Asynchronous Video Directly Observed Therapy to Monitor Short-Course Latent Tuberculosis Infection Treatment: Results of a Randomized Controlled Trial (2024) DOI
  • Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection (2024) DOI
  • Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients (2023) DOI
  • Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection (2023) DOI
  • Clinical Evaluation of the XDR-LFC Assay for the Molecular Detection of Isoniazid, Rifampin, Fluoroquinolone, Kanamycin, Capreomycin, and Amikacin Drug Resistance in a Prospective Cohort (2023) DOI
  • 1539. A Nine-Gene Blood-Based Signature Meets the World Health Organization Target Product Profiles for Diagnosis of Active Tuberculosis and Predicting Progression from Latent to Active Disease (2022) DOI
  • Circulating mitochondrial cell-free DNA dynamics in patients with mycobacterial pulmonary infections: Potential for a novel biomarker of disease (2022) DOI
  • CRISPR detection of circulating cell-free Mycobacterium tuberculosis DNA in adults and children, including children with HIV: a molecular diagnostics study (2022) DOI
  • A Nine-Gene Blood-Based Signature Meets the World Health Organization Target Product Profiles for Diagnosis of Active Tuberculosis and Predicting Progression from Latent to Active Disease (2022) DOI

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