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Young JAH, Liu X, Porter E, Sweet H, Wang W, Evans AF, Zhang C, Obeid KM. Daily Fungal Cell-Free DNA Testing to Assess Clinical Status during Candida krusei Fungemia. J Fungi (Basel) 2024; 10:449. [PMID: 39057334 PMCID: PMC11278359 DOI: 10.3390/jof10070449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
We present a case of a man immunocompromised due to myelodysplastic syndrome with Candida krusei fungemia who had a rising cell-free DNA (cfDNA) giant magnetoresistance (GMR) signal when tested daily using plasma blood samples. With the rise in GMR signal paralleling the development of skin lesions in this patient, we conclude that cfDNA can be used to indicate uncontrolled infection and thus help monitor response to therapy. This index patient provides evidence that an invasive fungal infection requires both direct antifungal therapy and an intact immune system to control the infection. This biosensing platform has been simplified to potentially serve as a point-of-care test, setting it apart by overcoming the three common barriers of cfDNA testing: complexity, cost, and time.
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Affiliation(s)
- Jo-Anne H. Young
- Division of Infectious Disease and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Xiaoying Liu
- Zepto Life Technology, Inc., Saint Paul, MN 55114, USA
| | - Emma Porter
- Zepto Life Technology, Inc., Saint Paul, MN 55114, USA
| | - Hannah Sweet
- Zepto Life Technology, Inc., Saint Paul, MN 55114, USA
| | - Wei Wang
- Zepto Life Technology, Inc., Saint Paul, MN 55114, USA
| | | | - Chi Zhang
- Zepto Life Technology, Inc., Saint Paul, MN 55114, USA
| | - Karam M. Obeid
- Division of Infectious Disease and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA;
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Beyazit F, Arica MY, Acikgoz-Erkaya I, Ozalp C, Bayramoglu G. Quartz crystal microbalance-based aptasensor integrated with magnetic pre-concentration system for detection of Listeria monocytogenes in food samples. Mikrochim Acta 2024; 191:235. [PMID: 38570380 PMCID: PMC10990998 DOI: 10.1007/s00604-024-06307-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/09/2024] [Indexed: 04/05/2024]
Abstract
A fast and accurate identification of Listeria monocytogenes. A new quartz crystal microbalance (QCM) aptasensor was designed for the specific and rapid detection of L. monocytogenes. Before detection of the target bacterium from samples in the QCM aptasensor, a magnetic pre-enrichment system was used to eliminate any contaminant in the samples. The prepared magnetic system was characterized using ATR-FTIR, SEM, VSM, BET, and analytical methods. The saturation magnetization values of the Fe3O4, Fe3O4@PDA, and Fe3O4@PDA@DAPEG particles were 57.2, 40.8, and 36.4 emu/g, respectively. The same aptamer was also immobilized on the QCM crystal integrated into QCM flow cell and utilized to quantitatively detect L. monocytogenes cells from the samples. It was found that a specific aptamer-magnetic pre-concentration system efficiently captured L. monocytogenes cells in a short time (approximately 10 min). The Fe3O4@PDA@DA-PEG-Apt particles provided selective isolation of L. monocytogenes from the bacteria-spiked media up to 91.8%. The immobilized aptamer content of the magnetic particles was 5834 µg/g using 500 ng Apt/mL. The QCM aptasensor showed a very high range of analytical performance to the target bacterium from 1.0 × 102 and 1.0 × 107 CFU/mL. The limit of detection (LOD) and limit of quantitation (LOQ) were 148 and 448 CFU/mL, respectively, from the feeding of the QCM aptasensor flow cell with the eluent of the magnetic pre-concentration system. The reproducibility of the aptasensor was more than 95%. The aptasensor was very specific to L. monocytogenes compared to the other Listeria species (i.e., L. ivanovii, L. innocua, and L. seeligeri) or other tested bacteria such as Staphylococcus aureus, Escherichia coli, and Bacillus subtilis. The QCM aptasensor was regenerated with NaOH solution, and the system was reused many times.
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Affiliation(s)
- Fatma Beyazit
- Department of Obstetrics and Gynecology, Faculty of Medicine, Çanakkale Onsekiz Mart University, Çanakkale, Turkey
| | - Mehmet Yakup Arica
- Biochemical Processing and Biomaterial Research Laboratory, Gazi University, 06500, Teknikokullar, Ankara, Turkey
| | - Ilkay Acikgoz-Erkaya
- Department of Environmental Science, Faculty of Engineering and Architecture, Ahi Evran University, Kırsehir, Turkey
| | - Cengiz Ozalp
- Department of Medical Biology, School of Medicine, Atilim University, Ankara, Turkey
| | - Gulay Bayramoglu
- Biochemical Processing and Biomaterial Research Laboratory, Gazi University, 06500, Teknikokullar, Ankara, Turkey.
- Department of Chemistry, Faculty of Sciences, Gazi University, 06500, Teknikokullar, Ankara, Turkey.
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Mostufa S, Rezaei B, Yari P, Xu K, Gómez-Pastora J, Sun J, Shi Z, Wu K. Giant Magnetoresistance Based Biosensors for Cancer Screening and Detection. ACS APPLIED BIO MATERIALS 2023; 6:4042-4059. [PMID: 37725557 DOI: 10.1021/acsabm.3c00592] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Early-stage screening of cancer is critical in preventing its development and therefore can improve the prognosis of the disease. One accurate and effective method of cancer screening is using high sensitivity biosensors to detect optically, chemically, or magnetically labeled cancer biomarkers. Among a wide range of biosensors, giant magnetoresistance (GMR) based devices offer high sensitivity, low background noise, robustness, and low cost. With state-of-the-art micro- and nanofabrication techniques, tens to hundreds of independently working GMR biosensors can be integrated into fingernail-sized chips for the simultaneous detection of multiple cancer biomarkers (i.e., multiplexed assay). Meanwhile, the miniaturization of GMR chips makes them able to be integrated into point-of-care (POC) devices. In this review, we first introduce three types of GMR biosensors in terms of their structures and physics, followed by a discussion on fabrication techniques for those sensors. In order to achieve target cancer biomarker detection, the GMR biosensor surface needs to be subjected to biological decoration. Thus, commonly used methods for surface functionalization are also reviewed. The robustness of GMR-based biosensors in cancer detection has been demonstrated by multiple research groups worldwide and we review some representative examples. At the end of this review, the challenges and future development prospects of GMR biosensor platforms are commented on. With all their benefits and opportunities, it can be foreseen that GMR biosensor platforms will transition from a promising candidate to a robust product for cancer screening in the near future.
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Affiliation(s)
- Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kanglin Xu
- Department of Computer Science, Texas Tech University, Lubbock, Texas 79409, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Jiajia Sun
- State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China
| | - Zongqian Shi
- State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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Wang B, Huang D, Weng Z. Recent Advances in Polymer-Based Biosensors for Food Safety Detection. Polymers (Basel) 2023; 15:3253. [PMID: 37571147 PMCID: PMC10422505 DOI: 10.3390/polym15153253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/22/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The excessive use of pesticides and drugs, coupled with environmental pollution, has resulted in the persistence of contaminants on food. These pollutants tend to accumulate in humans through the food chain, posing a significant threat to human health. Therefore, it is crucial to develop rapid, low-cost, portable, and on-site biosensors for detecting food contaminants. Among various biosensors, polymer-based biosensors have emerged as promising probes for detection of food contaminants in recent years, due to their various functions such as target binding, enrichment, and simple signal reading. This paper aims to discuss the characteristics of five types of food pollutants-heavy metals, pesticide residues, pathogenic bacteria, allergens, and antibiotics-and their adverse effects on human health. Additionally, this paper focuses on the principle of polymer-based biosensors and their latest applications in detecting these five types of food contaminants in actual food samples. Furthermore, this review briefly examines the future prospects and challenges of biosensors for food safety detection. The insights provided in this review will facilitate the development of biosensors for food safety detection.
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Affiliation(s)
- Binhui Wang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China;
| | - Da Huang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China;
| | - Zuquan Weng
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China;
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, China
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de Olazarra AS, Wang SX. Advances in point-of-care genetic testing for personalized medicine applications. BIOMICROFLUIDICS 2023; 17:031501. [PMID: 37159750 PMCID: PMC10163839 DOI: 10.1063/5.0143311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
Breakthroughs within the fields of genomics and bioinformatics have enabled the identification of numerous genetic biomarkers that reflect an individual's disease susceptibility, disease progression, and therapy responsiveness. The personalized medicine paradigm capitalizes on these breakthroughs by utilizing an individual's genetic profile to guide treatment selection, dosing, and preventative care. However, integration of personalized medicine into routine clinical practice has been limited-in part-by a dearth of widely deployable, timely, and cost-effective genetic analysis tools. Fortunately, the last several decades have been characterized by tremendous progress with respect to the development of molecular point-of-care tests (POCTs). Advances in microfluidic technologies, accompanied by improvements and innovations in amplification methods, have opened new doors to health monitoring at the point-of-care. While many of these technologies were developed with rapid infectious disease diagnostics in mind, they are well-suited for deployment as genetic testing platforms for personalized medicine applications. In the coming years, we expect that these innovations in molecular POCT technology will play a critical role in enabling widespread adoption of personalized medicine methods. In this work, we review the current and emerging generations of point-of-care molecular testing platforms and assess their applicability toward accelerating the personalized medicine paradigm.
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Affiliation(s)
- A. S. de Olazarra
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
| | - S. X. Wang
- Author to whom correspondence should be addressed:
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