Peptidomic analysis of mycobacterial secreted proteins enables species identification
Qingbo Shu,
Meena Rajagopal,
Jia Fan,
Lingpeng Zhan,
Xiangxing Kong,
Yifan He,
Suwatchareeporn Rotcheewaphan,
Christopher J. Lyon,
Wei Sha,
Adrian M. Zelazny,
Tony Hu
Affiliations
Qingbo Shu
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Meena Rajagopal
Department of Laboratory Medicine, Clinical Center National Institutes of Health Bethesda Maryland USA
Jia Fan
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Lingpeng Zhan
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Xiangxing Kong
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Yifan He
Clinic and Research Center of Tuberculosis, Shanghai Pulmonary Hospital Tongji University School of Medicine Shanghai People's Republic of China
Suwatchareeporn Rotcheewaphan
Department of Laboratory Medicine, Clinical Center National Institutes of Health Bethesda Maryland USA
Christopher J. Lyon
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Wei Sha
Clinic and Research Center of Tuberculosis, Shanghai Pulmonary Hospital Tongji University School of Medicine Shanghai People's Republic of China
Adrian M. Zelazny
Department of Laboratory Medicine, Clinical Center National Institutes of Health Bethesda Maryland USA
Tony Hu
Center for Cellular and Molecular Diagnostics Department of Biochemistry and Molecular Biology School of Medicine Tulane University New Orleans Louisiana USA
Abstract Pulmonary disease arising from slow‐growing mycobacterial infections has emerged as an increasingly prevalent clinical concern over the past two to three decades. Proteins belonging to the family of ESAT‐6 secretion (Esx) systems play critical roles in the virulence of most pathogenic mycobacterial species and are associated with drug resistance. However, no clinical applications can detect and discriminate the expression of species‐specific variants of these proteins in clinical samples, such as early growth cultures, for rapid diagnosis of specific mycobacterial infections, which may require distinct interventions. Conventional immunoassay approaches are not suitable for this purpose due to the significant degree of conservation of Esx proteins among species. Herein we describe the development of a novel immunoprecipitation‐coupled mass spectrometry assay that can distinguish Esx proteins that are expressed by slow‐growing mycobacterial species commonly detected in clinical isolates. This approach uses custom antibodies raised against single semi‐conserved peptide regions in M. tuberculosis (Mtb) EsxB and EsxN to capture corresponding peptides from protein orthologs of mycobacteria associated with human respiratory infections, including Mtb, M. avium, M. intracellulare, M. kansasii, M. gordonae, and M. marinum, to detect these species in standard clinical cultures at the first sign mycobacterial growth to allow rapid disease diagnosis.