D
Donald G. Catanzaro Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Assistant Professor
faculty
22 h-index
59 pubs
2,008 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Donald G. Catanzaro's research focuses on advancing the diagnosis and understanding of tuberculosis (TB) and related mycobacterial infections. He investigates novel molecular diagnostic approaches, including the use of CRISPR technology for detecting circulating cell-free DNA of *Mycobacterium tuberculosis* in both adults and children, with a specific interest in pediatric cases involving HIV. His work also explores transcriptomic signatures in individuals with latent TB who are at risk of developing active disease, aiming to identify early indicators for intervention.
Further areas of his investigation include the development of rapid, low-cost diagnostic assays for respiratory and blood samples, and the evaluation of circulating mitochondrial cell-free DNA as a potential biomarker for mycobacterial pulmonary infections. Catanzaro also applies machine learning algorithms to dynamic prediction models for TB treatment outcomes and examines T cell epitopes relevant to the spectrum of TB infection. His scholarly contributions are reflected in a high-impact researcher designation, with an h-index of 21 and nearly 2,000 citations across 59 publications.
Metrics
- h-index: 22
- Publications: 59
- Citations: 2,008
Selected Publications
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Microbial Biomarkers of Tuberculosis Infection and Disease in Blood: Systematic Review and Meta-Analysis (2026)
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Microbial biomarkers of tuberculosis infection and disease in blood: systematic review and meta-analysis (2026)
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Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases (2025)
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Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases (2025)
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Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making (2025)
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Rapid tuberculosis diagnosis from respiratory or blood samples by a low cost, portable lab-in-tube assay (2025)
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Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova (2024)
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Prospective Exploratory Evaluation of Cepheid Xpert <i>Mycobacterium tuberculosis</i> Host Response Cartridge: A Focus on Adolescents and Young Adults (2024)
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Asynchronous Video Directly Observed Therapy to Monitor Short-Course Latent Tuberculosis Infection Treatment: Results of a Randomized Controlled Trial (2024)
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Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection (2024)
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Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients (2023)
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Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection (2023)
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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)
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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)
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Circulating mitochondrial cell-free DNA dynamics in patients with mycobacterial pulmonary infections: Potential for a novel biomarker of disease (2022)
Collaboration Network
Top Collaborators
Timothy C. Rodwell
University of California San Diego (US)
17 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease
- Rapid tuberculosis diagnosis from respiratory or blood samples by a low cost, portable lab-in-tube assay
- Circulating mitochondrial cell-free DNA dynamics in patients with mycobacterial pulmonary infections: Potential for a novel biomarker of disease
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
Showing 5 of 17 shared publications
Valeriu Crudu
Institute of Chemistry (MD)
13 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
- Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection
Showing 5 of 13 shared publications
Antonino Catanzaro
University of California, San Diego (US)
13 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease
- Circulating mitochondrial cell-free DNA dynamics in patients with mycobacterial pulmonary infections: Potential for a novel biomarker of disease
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
Showing 5 of 13 shared publications
Nelly Ciobanu
Institute of Chemistry (MD)
9 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
- Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection
- Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova
Showing 5 of 9 shared publications
Naomi Hillery
University of California, San Diego (US)
7 shared publications
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
- Prospective Exploratory Evaluation of Cepheid Xpert <i>Mycobacterium tuberculosis</i> Host Response Cartridge: A Focus on Adolescents and Young Adults
- Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova
- Rapid Detection of Extensively Drug-Resistant Tuberculosis in Clinical Samples Using a Novel Tabletop Platform: Protocol for a Prospective Clinical Study
Showing 5 of 7 shared publications
Cecilia S. Lindestam Arlehamn
Statens Serum Institut (DK)
6 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease
- Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection
- Identifying Mtb-Specific T Cell Epitopes Across the Spectrum of Tuberculosis Infection: Implications for Diagnostics and Vaccines
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
Showing 5 of 6 shared publications
Marva Seifert
University of California System (US)
5 shared publications
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- Detecting rifampin and isoniazid resistance in Mycobacterium tuberculosis direct from patient sputum using an automated integrated system
- 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
- Prospective Exploratory Evaluation of Cepheid Xpert <i>Mycobacterium tuberculosis</i> Host Response Cartridge: A Focus on Adolescents and Young Adults
- Rapid Detection of Extensively Drug-Resistant Tuberculosis in Clinical Samples Using a Novel Tabletop Platform: Protocol for a Prospective Clinical Study
Bjoern Peters
La Jolla Institute for Immunology (US)
5 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease
- Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection
- Identifying Mtb-Specific T Cell Epitopes Across the Spectrum of Tuberculosis Infection: Implications for Diagnostics and Vaccines
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
Rehan R. Syed
University of California, San Diego (US)
5 shared publications
- Circulating mitochondrial cell-free DNA dynamics in patients with mycobacterial pulmonary infections: Potential for a novel biomarker of disease
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
- Prospective Exploratory Evaluation of Cepheid Xpert <i>Mycobacterium tuberculosis</i> Host Response Cartridge: A Focus on Adolescents and Young Adults
- Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova
Catherine Cheng
La Jolla Institute for Immunology (US)
5 shared publications
- Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection
- Identification of differentially recognized T cell epitopes in the spectrum of <i>Mtb</i> infection
- Identifying Mtb-Specific T Cell Epitopes Across the Spectrum of Tuberculosis Infection: Implications for Diagnostics and Vaccines
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
Rebecca E. Colman
University of California San Diego (US)
4 shared publications
- Rapid tuberculosis diagnosis from respiratory or blood samples by a low cost, portable lab-in-tube assay
- Detecting rifampin and isoniazid resistance in Mycobacterium tuberculosis direct from patient sputum using an automated integrated system
- 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
- Rapid Detection of Extensively Drug-Resistant Tuberculosis in Clinical Samples Using a Novel Tabletop Platform: Protocol for a Prospective Clinical Study
Julie G. Burel
La Jolla Institute for Immunology (US)
3 shared publications
- Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases
Maryam Kheirandish
University of Arkansas at Fayetteville
3 shared publications
In database
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making
- Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Shengfan Zhang
University of Arkansas at Fayetteville
3 shared publications
In database
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making
- Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Alexandru Codreanu
Phthisiopneumology Institute "Chiril Draganiuc" (MD)
3 shared publications
- Predicting stringent QuantiFERON-TB Gold Plus conversions in contacts of tuberculosis patients
- 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
- Understanding tuberculosis transmission and progression: A prospective cohort study of index cases and close contacts in Moldova
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