Mass spectrometry for therapeutic drug monitoring of anti-tuberculosis drugs.

ADR, acquired drug resistance DBS, dried blood spots DS-TB, drug-susceptible tuberculosis EMA, European Medicines Agency FDA, Food and Drug Administration HILIC, hydrophilic interaction liquid chromatography HPLC, high performance liquid chromatography LC-MS/MS LC-MS/MS, liquid chromatography-tandem mass spectrometry Liquid chromatography MDR-TB, multidrug-resistant tuberculosis MTB, Mycobacterium tuberculosis Multi-analyte assays SIL-IS, stable isotopically labelled-internal standards TB, tuberculosis TDM TDM, therapeutic drug monitoring Tuberculosis UHPLC-UV, ultra-high performance liquid chromatography-ultra violet detection WHO, World Health Organisation

Journal

Clinical mass spectrometry (Del Mar, Calif.)
ISSN: 2376-9998
Titre abrégé: Clin Mass Spectrom
Pays: Netherlands
ID NLM: 101697500

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 01 05 2018
revised: 17 10 2018
accepted: 18 10 2018
entrez: 22 12 2021
pubmed: 19 10 2018
medline: 19 10 2018
Statut: epublish

Résumé

Therapeutic drug monitoring (TDM) uses drug concentrations, primarily from plasma, to optimize drug dosing. Optimisation of drug dosing may improve treatment outcomes, reduce toxicity and reduce the risk of acquired drug resistance. The aim of this narrative review is to outline and discuss the challenges of developing multi-analyte assays for anti-tuberculosis (TB) drugs using liquid chromatography-tandem mass spectrometry (LC-MS/MS) by reviewing the existing literature in the field. Compared to other analytical methods, LC-MS/MS offers higher sensitivity and selectivity while requiring relatively low sample volumes. Additionally, multi-analyte assays are easier to perform since adequate separation and short run times are possible even when non-selective sample preparation techniques are used. However, challenges still exist, especially when optimizing LC separation techniques for assays that include analytes with differing chemical properties. Here, we have identified seven multi-analyte assays for first-line anti-TB drugs that use various solvents for sample preparation and mobile phase separation. Only two multi-analyte assays for second-line anti-TB drugs were identified (including either nine or 20 analytes), with each using different protein precipitation methods, mobile phases and columns. The 20 analyte assay did not include bedaquiline, delamanid, meropenem or imipenem. For these drugs, other assays with similar methodologies were identified that could be incorporated in the development of a future comprehensive multi-analyte assay. TDM is a powerful methodology for monitoring patient's individual treatments in TB programmes, but its implementation will require different approaches depending on available resources. Since TB is most-prevalent in low- and middle-income countries where resources are scarce, a patient-centred approach using sampling methods other than large volume blood draws, such as dried blood spots or saliva collection, could facilitate its adoption and use. Regardless of the methodology of collection and analysis, it will be critical that laboratory proficiency programmes are in place to ensure adequate quality control. It is our intent that the information contained in this review will contribute to the process of assembling comprehensive multiplexed assays for the dynamic monitoring of anti-TB drug treatment in affected individuals.

Identifiants

pubmed: 34934812
doi: 10.1016/j.clinms.2018.10.002
pii: S2376-9998(18)30015-1
pmc: PMC8653513
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

34-45

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2018 The Association for Mass Spectrometry: Applications to the Clinical Lab (MSACL). Published by Elsevier B.V.

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Auteurs

Johanna Kuhlin (J)

Unit of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.

Marieke G G Sturkenboom (MGG)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Samiksha Ghimire (S)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Ioana Margineanu (I)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Simone H J van den Elsen (SHJ)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Noviana Simbar (N)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Onno W Akkerman (OW)

University of Groningen, University Medical Center Groningen, Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands.
University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands.

Erwin M Jongedijk (EM)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Remco A Koster (RA)

PRA Health Sciences Bioanalytical Laboratory, Assen, The Netherlands.

Judith Bruchfeld (J)

Unit of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.

Daan J Touw (DJ)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.
University of Groningen, University Medical Center Groningen, Department of Pharmacokinetics, Toxicology and Targeting, Groningen, The Netherlands.

Jan-Willem C Alffenaar (JC)

University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.

Classifications MeSH