Back to Authors

Wootton, Mandy

https://orcid.org/0000-0002-2227-3355

Mayo Clinic

University Hospital of Wales

Citations 2

Challenges in establishing epidemiological cut-off values for the Burkholderia cepacia complex
Huse, Holly, Manuel, Carmila , McLemore, Tracey, Humphries, Romney M. , Galdino, Anna Clara Milesi , Celedonio, Diana, LiPuma, John J. , Green, Daniel A. , Traczewski, Maria Maduri, Turnidge, John , Carpenter, Darcie, Huband, Micahel D , Pillar, Chris M., Humphries, Romney , LiPuma, John J. , Zlosnik, James E. A. , Traczewski, Maria M., Schuetz, Audrey N. , Wootton, Mandy , Monogue, Marguerite L. , Jorth, Peter

No container title available | May 21, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.05.18.725987 Get It

ABSTRACT The Burkholderia cepacia complex (BCC) is comprised of 24 species of Gram-negative bacteria that cause opportunistic infections. While antimicrobial susceptibility testing (AST) has historically been used to guide treatment for BCC infections, recent work highlighting problems with AST for these organisms led the Clinical and Laboratory Sciences Institute (CLSI) to remove disk diffusion (DD) and minimal inhibitory concentration (MIC) breakpoints for BCC from its M100 standards document. Epidemiological cut-off values (ECVs) may be helpful to clinicians in the absence of breakpoints, as they may be used to determine whether an isolate has a wild-type or non-wild-type phenotype. Here we present an analysis of BCC ECVs for ceftazidime (CAZ), levofloxacin (LVX), meropenem (MEM), minocycline (MIN), and trimethoprim-sulfamethoxazole (TMP-SMX). ECVs were calculated using MIC data from 3 previous studies and 3 independent laboratories for 1,896 BCC isolates. ECVs were 16 μg/ml for CAZ, 8 μg/ml for LVX, 16 μg/ml for MEM, and 8 μg/ml for MIN. The ECV for TMP-SMX varied depending on the analysis from 2 μg/ml, 8 μg/ml, and 16 μg/ml and therefore could not be reliably established. Challenges with establishing ECVs for BCC include limitations with the pooled MIC dataset, broad MIC distributions, and high ECVs that are above the obsolete susceptible MIC breakpoints. These challenges limit the clinical utility of ECVs for these organisms and supported removal of ECVs from the CLSI M100 standards document. IMPORTANCE The Burkholderia cepacia complex is a group of bacterial species that cause difficult-to-treat opportunistic infections. Recently, clinical breakpoints, which are used to determine whether organisms are susceptible to certain antimicrobials, were removed from Clinical and Laboratory Standards Institute (CLSI) standards for these organisms due to problems with antimicrobial susceptibility testing performance. Clinicians are now faced with the challenge of how to treat these complex infections without clinical breakpoints. Here we determine epidemiological cut-off values (ECVs) for relevant antimicrobials for the B. cepacia complex. While we established ECVs for four antimicrobials, we encountered significant challenges in our analyses, including limitations with data for these organisms and high ECVs that are not clinically useful. These challenges limit the practical use of these ECVs in helping guide clinicians on treatment and supported the eventual removal of ECVs from the CLSI M100 standards document.
A lipoglycopeptide antibiotic for Gram-positive biofilm-related infections
Blaskovich, Mark A. T. , Hansford, Karl A. , Butler, Mark S. , Ramu, Soumya , Kavanagh, Angela M. , Prasetyoputri, Anggia , Pitt, Miranda E. , Huang, Johnny X. , Lindahl, Fredrik, Ziora, Zyta M. , Bradford, Tanya A. , Muldoon, Craig, Premraj, Rajaratnam , Pelingon, Ruby , Edwards, David J. , Amado, Maite , Woischnig, Anne-Kathrin , Breidenstein, Elena B. M. , Stincone, Anna, Karau, Melissa J. , Greenwood‐Quaintance, Kerryl E. , Wootton, Mandy , James, Meagan L. , Hutton, M. , Mahdi, Layla K. , Trott, Darren J. , Wu, Xiaoqian, Niles, Samantha , Lewis, Kim , Yim, Juwon , Rice, Seth, Rybak, Michael J. , Ishmael, Chad R. , Hori, Kellyn R. , Francis, Kevin P. , Jarrad, Angie M , Prasetyoputri, Anggia , Pitt, Miranda E , Huang, Johnny X , Ziora, Zyta M , Bradford, Tanya , Rajaratnam, Premraj , Pelingon, Ruby , Zhang, Bing , Elliott, Alysha G , Zuegg, Johannes , Coin, Lachlan , Khanna, Nina , Stincone, Anna , Mason, Clive , Cho, Hye-Kyung , Karau, Melissa , Greenwood-Quaintance, Kerryl , Patel, Robin , Wootton, Mandy , James, Meagan L , Hutton, Melanie L , Lyras, Dena , Ogunniyi, Abiodun D , Mahdi, Layla K , Niles, Samantha , Lewis, Kim , Smith, Jordan R , Barber, Katie E , Rybak, Michael J , Ishmael, Chad R , Hori, Kellyn R , Bernthal, Nicholas M , Francis, Kevin P , Paterson, David L. , Cooper, Matthew A , Blaskovich, Mark A T , Edwards, David J., Khan, Nawaz, Patel, Robin , Roberts, Jason A

Science Translational Medicine | September 14, 2022 | Volume: 14 | Issue: 662 | Pages: No page available

10.1126/scitranslmed.abj2381 Get It

Drug-resistant Gram-positive bacterial infections are still a substantial burden on the public health system, with two bacteria ( Staphylococcus aureus and Streptococcus pneumoniae ) accounting for over 1.5 million drug-resistant infections in the United States alone in 2017. In 2019, 250,000 deaths were attributed to these pathogens globally. We have developed a preclinical glycopeptide antibiotic, MCC5145, that has excellent potency (MIC 90 ≤ 0.06 μg/ml) against hundreds of isolates of methicillin-resistant S. aureus (MRSA) and other Gram-positive bacteria, with a greater than 1000-fold margin over mammalian cell cytotoxicity values. The antibiotic has therapeutic in vivo efficacy when dosed subcutaneously in multiple murine models of established bacterial infections, including thigh infection with MRSA and blood septicemia with S. pneumoniae , as well as when dosed orally in an antibiotic-induced Clostridioides difficile infection model. MCC5145 exhibited reduced nephrotoxicity at microbiologically active doses in mice compared to vancomycin. MCC5145 also showed improved activity against biofilms compared to vancomycin, both in vitro and in vivo, and a low propensity to select for drug resistance. Characterization of drug action using a transposon library bioinformatic platform showed a mechanistic distinction from other glycopeptide antibiotics.