1
|
Nikolaev VV, Lepekhina TB, Alliluev AS, Bidram E, Sokolov PM, Nabiev IR, Kistenev YV. Quantum Dot-Based Nanosensors for In Vitro Detection of Mycobacterium tuberculosis. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:1553. [PMID: 39404280 PMCID: PMC11478040 DOI: 10.3390/nano14191553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 09/22/2024] [Accepted: 09/24/2024] [Indexed: 10/19/2024]
Abstract
Despite the existing effective treatment methods, tuberculosis (TB) is the second most deadly infectious disease, its carriers in the latent and active phases accounting for more than 20% of the world population. An effective method for controlling TB and reducing TB mortality is regular population screening aimed at diagnosing the latent form of TB and taking preventive and curative measures. Numerous methods allow diagnosing TB by directly detecting Mycobacterium tuberculosis (M.tb) biomarkers, including M.tb DNA, proteins, and specific metabolites or antibodies produced by the host immune system in response to M.tb. PCR, ELISA, immunofluorescence and immunochemical analyses, flow cytometry, and other methods allow the detection of M.tb biomarkers or the host immune response to M.tb by recording the optical signal from fluorescent or colorimetric dyes that are components of the diagnostic systems. Current research in biosensors is aimed at increasing the sensitivity of detection, a promising approach being the use of fluorescent quantum dots as brighter and more photostable optical tags. Here, we review current methods for the detection of M.tb biomarkers using quantum dot-based nanosensors and summarize data on the M.tb biomarkers whose detection can be made considerably more sensitive by using these sensors.
Collapse
Affiliation(s)
- Viktor V. Nikolaev
- Laboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia; (V.V.N.); (T.B.L.); (A.S.A.)
| | - Tatiana B. Lepekhina
- Laboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia; (V.V.N.); (T.B.L.); (A.S.A.)
| | - Alexander S. Alliluev
- Laboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia; (V.V.N.); (T.B.L.); (A.S.A.)
- Tomsk Phthisiopulmonology Medical Center, Rosa Luxemburg St., 634009 Tomsk, Russia
| | - Elham Bidram
- Department of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran;
| | - Pavel M. Sokolov
- Life Improvement by Future Technologies (LIFT) Center, Skolkovo, 143025 Moscow, Russia;
- Laboratory of Nano-Bioengineering, Moscow Engineering Physics Institute (MEPhI), National Research Nuclear University, 115409 Moscow, Russia
- Department of Clinical Immunology and Allergology, Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119146 Moscow, Russia
| | - Igor R. Nabiev
- Life Improvement by Future Technologies (LIFT) Center, Skolkovo, 143025 Moscow, Russia;
- Laboratory of Nano-Bioengineering, Moscow Engineering Physics Institute (MEPhI), National Research Nuclear University, 115409 Moscow, Russia
- Department of Clinical Immunology and Allergology, Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119146 Moscow, Russia
- Laboratoire BioSpecT (BioSpectroscopie Translationnelle), Université de Reims Champagne-Ardenne, 51100 Reims, France
| | - Yury V. Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia; (V.V.N.); (T.B.L.); (A.S.A.)
| |
Collapse
|
2
|
Rao PS, Modi N, Nguyen NTT, Vu DH, Xie YL, Gandhi M, Gerona R, Metcalfe J, Heysell SK, Alffenaar JWC. Alternative Methods for Therapeutic Drug Monitoring and Dose Adjustment of Tuberculosis Treatment in Clinical Settings: A Systematic Review. Clin Pharmacokinet 2023; 62:375-398. [PMID: 36869170 PMCID: PMC10042915 DOI: 10.1007/s40262-023-01220-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND AND OBJECTIVE Quantifying exposure to drugs for personalized dose adjustment is of critical importance in patients with tuberculosis who may be at risk of treatment failure or toxicity due to individual variability in pharmacokinetics. Traditionally, serum or plasma samples have been used for drug monitoring, which only poses collection and logistical challenges in high-tuberculosis burden/low-resourced areas. Less invasive and lower cost tests using alternative biomatrices other than serum or plasma may improve the feasibility of therapeutic drug monitoring. METHODS A systematic review was conducted to include studies reporting anti-tuberculosis drug concentration measurements in dried blood spots, urine, saliva, and hair. Reports were screened to include study design, population, analytical methods, relevant pharmacokinetic parameters, and risk of bias. RESULTS A total of 75 reports encompassing all four biomatrices were included. Dried blood spots reduced the sample volume requirement and cut shipping costs whereas simpler laboratory methods to test the presence of drug in urine can allow point-of-care testing in high-burden settings. Minimal pre-processing requirements with saliva samples may further increase acceptability for laboratory staff. Multi-analyte panels have been tested in hair with the capacity to test a wide range of drugs and some of their metabolites. CONCLUSIONS Reported data were mostly from small-scale studies and alternative biomatrices need to be qualified in large and diverse populations for the demonstration of feasibility in operational settings. High-quality interventional studies will improve the uptake of alternative biomatrices in guidelines and accelerate implementation in programmatic tuberculosis treatment.
Collapse
Affiliation(s)
- Prakruti S Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Nisha Modi
- Global TB Institute and Department of Medicine, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Nam-Tien Tran Nguyen
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - Dinh Hoa Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - Yingda L Xie
- Global TB Institute and Department of Medicine, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Monica Gandhi
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Roy Gerona
- Maternal-Fetal Medicine Division, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - John Metcalfe
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, CA, USA
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Jan-Willem C Alffenaar
- Pharmacy School, The University of Sydney, Pharmacy Building (A15), Science Road, Sydney, NSW, 2006, Australia.
- The University of Sydney at Westmead Hospital, Sydney, NSW, Australia.
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia.
| |
Collapse
|
3
|
Ismail M, Costa C, Longman K, Chambers MA, Menzies S, Bailey MJ. Potential to Use Fingerprints for Monitoring Therapeutic Levels of Isoniazid and Treatment Adherence. ACS OMEGA 2022; 7:15167-15173. [PMID: 35572755 PMCID: PMC9089686 DOI: 10.1021/acsomega.2c01257] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/08/2022] [Indexed: 06/15/2023]
Abstract
A fingerprint offers a convenient, noninvasive sampling matrix for monitoring therapeutic drug use. However, a barrier to widespread adoption of fingerprint sampling is the fact that the sample volume is uncontrolled. Fingerprint samples (n = 140) were collected from patients receiving the antibiotic isoniazid as part of their treatment, as well as from a drug-naive control group (n = 50). The fingerprint samples were analyzed for isoniazid (INH) and acetylisoniazid (AcINH), using liquid chromatography high-resolution mass spectrometry. The data set was analyzed retrospectively for metabolites known to be present in eccrine sweat. INH or AcINH was detected in 89% of the fingerprints collected from patients and in 0% of the fingerprints collected from the control group. Metabolites lysine, ornithine, pyroglutamic acid, and taurine were concurrently detected alongside INH/AcINH and were used to determine whether the fingerprint sample was sufficient for testing. Given a sufficient sample volume, the fingerprint test for INH use has sensitivity, specificity, and accuracy of 100%. Normalization to taurine was found to reduce intradonor variability. Fingerprints are a novel and noninvasive approach to monitor INH therapy. Metabolites can be used as internal markers to demonstrate a sufficient sample volume for testing and reduce intradonor variability.
Collapse
Affiliation(s)
- Mahado Ismail
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Catia Costa
- Ion
Beam Centre, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Katherine Longman
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Mark A. Chambers
- Faculty
of Health and Medical Sciences, University
of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Sarah Menzies
- Wexham
Park Hospital, Frimley Health NHS Foundation
Trust, Frimley, Surrey GU16 7UJ, U.K.
| | - Melanie J. Bailey
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
- Ion
Beam Centre, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| |
Collapse
|