Long-Term Molecular Analysis of Tuberculosis Strains in Alabama, a State Characterized by a Largely Indigenous, Low-Risk Population

Author:

Kempf Mirjam-Colette1,Dunlap Nancy E.12,Lok Kerry H.1,Benjamin William H.23,Keenan Nancy B.4,Kimerling Michael E.56

Affiliation:

1. Division of Pulmonary and Critical Care Medicine

2. Department of Microbiology

3. Department of Pathology

4. Alabama Department of Public Health, Montgomery, Alabama

5. Division of General Internal Medicine

6. Department of Epidemiology, University of Alabama at Birmingham

Abstract

ABSTRACT With a tuberculosis case detection rate of 5.9 per 100,000 population in 2001, Alabama ranked twelfth highest in the United States. However, cases among foreign-born and human immunodeficiency virus-infected individuals remain low in Alabama. To understand the endemic statewide disease pattern, tuberculosis strains were studied for clustering in a long-term population-based study from January 1994 to May 2000. IS6 110 restriction fragment length polymorphism analysis was performed for 1,834 strains. Spoligotyping was used as a secondary typing method for the 37% of isolates displaying a restriction fragment length polymorphism pattern with <6 IS 6110 copies. A total of 721 (41%) patients provided isolates that composed 114 clusters, each containing isolates from 2 to 136 patients, suggesting that recent transmission accounted for 35% of tuberculosis cases. Demographic, behavioral, and clinical characteristics of patients with clustered versus nonclustered isolates stratified by low-copy-number strains (<6 IS 6110 copies) versus high-copy-number strains (≥6 IS 6110 copies) were evaluated. Younger age, black race, a history of alcohol abuse, and homelessness were predictors of clustering of low-copy-number, strains and younger age, urban residency, alcohol abuse, homelessness, noninjection drug use, and a history of incarceration and/or cavitary disease were predictors of clustering of high-copy-number strains. By identifying local characteristics of tuberculosis clustering through molecular fingerprinting, control programs can distribute their limited resources to impact the transmission of tuberculosis in high-risk populations and evaluate strain distribution across geographical areas.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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