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Han T, Zhu W, Xu R, Chiang ST, Jin X, Shen X, Qian C, Yang G, Li R, Ai X. Glycan-Modified Cellular Nanosponges for Enhanced Treatment of Cholera Toxin-Induced Secretory Diarrhea. J Am Chem Soc 2025; 147:16982-16991. [PMID: 40340322 DOI: 10.1021/jacs.5c00955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2025]
Abstract
Cholera is a severe infectious disease caused by the Gram-negative bacterium Vibrio cholerae after colonization in the intestinal tract. Cholera toxin (CT), a key exotoxin protein, primarily causes acute secretory diarrhea and life-threatening complications in infected patients. Traditional approaches remain insufficient for effectively treating cholera, underscoring the need for innovative countermeasures to eliminate CT-caused symptoms. Here, we report a glycan-modified cellular nanosponge for the enhanced treatment of CT-induced secretory diarrhea. Specifically, intestinal epithelial cell membrane-camouflaged nanosponges are functionalized with a glycan receptor to promote their capability for CT neutralization, thereby competitively inhibiting CT entry into host cells. Moreover, an inhibitor is encapsulated into the cellular nanosponge to synergistically improve the therapeutic effect of diarrhea by blocking the excessive chloride ion efflux from the cystic fibrosis transmembrane conductance regulator (a crucial anion channel) on the membrane of CT-intoxicated epithelial cells. Upon oral administration, the biomimetic nanomedicine effectively eliminates CT-induced secretory diarrhea and intestinal injuries in mice. Overall, this study highlights the potential of glycan-modified cellular nanosponges as promising and broad-spectrum therapeutic agents against secretory diarrhea caused by bacterial exotoxins.
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Affiliation(s)
- Tianzhen Han
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wangyang Zhu
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Rong Xu
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Seok Theng Chiang
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xuefeng Jin
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaoshuai Shen
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chunxi Qian
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guangyu Yang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
- Institute of Key Raw Material, Shanghai Academy of Experimental Medicine, Shanghai 201401, China
| | - Rongxiu Li
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiangzhao Ai
- Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
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Ding S, Chen X, Yu B, Liu Z. Electrochemical biosensors for clinical detection of bacterial pathogens: advances, applications, and challenges. Chem Commun (Camb) 2024; 60:9513-9525. [PMID: 39120607 DOI: 10.1039/d4cc02272f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Bacterial pathogens are responsible for a variety of human diseases, necessitating their prompt detection for effective diagnosis and treatment of infectious diseases. Over recent years, electrochemical methods have gained significant attention owing to their exceptional sensitivity and rapidity. This review outlines the current landscape of electrochemical biosensors employed in clinical diagnostics for the detection of bacterial pathogens. We categorize these biosensors into four types: amperometry, potentiometry, electrochemical impedance spectroscopy, and conductometry, targeting various bacterial components, including toxins, virulence factors, metabolic activity, and events related to bacterial adhesion and invasion. We discuss the merits and challenges associated with electrochemical methods, underscoring their rapid response, high sensitivity, and specificity, while acknowledging the necessity for skilled operators and potential interference from biological and environmental factors. Furthermore, we examine future prospects and potential applications of electrochemical biosensors in clinical diagnostics. While electrochemical biosensors offer a promising avenue for detecting bacterial pathogens, further research in optimizing the robustness and surmounting the challenges hindering their seamless integration into clinical practice is imperative.
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Affiliation(s)
- Shengyong Ding
- Research Center of Biomedical Sensing Engineering Technology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Pharmacy, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, People's Republic of China
| | - Xiaodi Chen
- Department of Clinical Laboratory, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Bin Yu
- Research Center of Biomedical Sensing Engineering Technology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhiyuan Liu
- Research Center of Biomedical Sensing Engineering Technology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Neural Engineering Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China.
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Elhassan MM, Glasco DL, Sheelam A, Mahmoud AM, Hegazy MA, Mowaka S, Bell JG. Potentiometric detection of apomorphine in human plasma using a 3D printed sensor. Biosens Bioelectron 2024; 248:115971. [PMID: 38154328 DOI: 10.1016/j.bios.2023.115971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/09/2023] [Accepted: 12/22/2023] [Indexed: 12/30/2023]
Abstract
Apomorphine is a dopamine agonist that is used for the management of Parkinson's disease and has been proven to effectively decrease the off-time duration, where the symptoms recur, in Parkinson's disease patients. This paper describes the design and fabrication of the first potentiometric sensor for the determination of apomorphine in bulk and human plasma samples. The fabrication protocol involves stereolithographic 3D printing, which is a unique tool for the rapid fabrication of low-cost sensors. The solid-contact apomorphine ion-selective electrode combines a carbon-mesh/thermoplastic composite as the ion-to-electron transducer and a 3D printed ion-selective membrane, doped with the ionophore calix[6]arene. The sensor selectively measures apomorphine in the presence of other biologically present cations - sodium, potassium, magnesium, and calcium - as well as the commonly prescribed Parkinson's pharmaceutical, levodopa (L-Dopa). The sensor demonstrated a linear, Nernstian response, with a slope of 58.8 mV/decade over the range of 5.0 mM-9.8 μM, which covers the biologically (and pharmaceutically) relevant ranges, with a limit of detection of 2.51 μM. Moreover, the apomorphine sensor exhibited good stability (minimal drift of just 188 μV/hour over 10 h) and a shelf-life of almost 4 weeks. Experiments performed in the presence of albumin, the main plasma protein to which apomorphine binds, demonstrate that the sensor responds selectively to free-apomorphine (i.e., not bound or complexed forms). The utility of the sensor was confirmed through the successful determination of apomorphine in spiked human plasma samples.
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Affiliation(s)
- Manar M Elhassan
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA; Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, The British University in Egypt, El-Sherouk City, 11837, Egypt
| | - Dalton L Glasco
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA
| | - Anjaiah Sheelam
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA
| | - Amr M Mahmoud
- Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El Aini, Cairo, 11562, Egypt
| | - Maha A Hegazy
- Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El Aini, Cairo, 11562, Egypt.
| | - Shereen Mowaka
- Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, The British University in Egypt, El-Sherouk City, 11837, Egypt; Analytical Chemistry Department, Faculty of Pharmacy, Helwan University, Ein Helwan, Cairo, Egypt
| | - Jeffrey G Bell
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA.
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Lee S, Park JS, Woo H, Yoo YK, Lee D, Chung S, Yoon DS, Lee KB, Lee JH. Rapid deep learning-assisted predictive diagnostics for point-of-care testing. Nat Commun 2024; 15:1695. [PMID: 38402240 PMCID: PMC10894262 DOI: 10.1038/s41467-024-46069-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/12/2024] [Indexed: 02/26/2024] Open
Abstract
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and rapid kits are currently being explored to both enhance sensitivity and reduce assay time for diagnostic tests. Existing commercial molecular methods typically take several hours, while immunoassays can range from several hours to tens of minutes. Rapid diagnostics are crucial in Point-of-Care Testing (POCT). We propose an approach that integrates a time-series deep learning architecture and AI-based verification, for the enhanced result analysis of lateral flow assays. This approach is applicable to both infectious diseases and non-infectious biomarkers. In blind tests using clinical samples, our method achieved diagnostic times as short as 2 minutes, exceeding the accuracy of human analysis at 15 minutes. Furthermore, our technique significantly reduces assay time to just 1-2 minutes in the POCT setting. This advancement has the potential to greatly enhance POCT diagnostics, enabling both healthcare professionals and non-experts to make rapid, accurate decisions.
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Affiliation(s)
- Seungmin Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
| | - Jeong Soo Park
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
- School of Mechanical Engineering, Korea University, 145 Anam-ro, Seoungbuk-gu, Seoul, 02841, Republic of Korea
| | - Hyowon Woo
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
| | - Yong Kyoung Yoo
- Department of Electronic Engineering, Catholic Kwandong University, 24, Beomil-ro 579 beon-gil, Gangneung-si, Gangwon-do, 25601, Republic of Korea
| | - Dongho Lee
- CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea
| | - Seok Chung
- School of Mechanical Engineering, Korea University, 145 Anam-ro, Seoungbuk-gu, Seoul, 02841, Republic of Korea
| | - Dae Sung Yoon
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea
- Astrion Inc, Seoul, 02841, Republic of Korea
| | - Ki-Baek Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
| | - Jeong Hoon Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
- CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea.
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Ho N, Tang K, Ngo V, Livits I, Morrel A, Noor B, Tseng K, Chung EJ. Nanoparticles-based technologies for cholera detection and therapy. SLAS Technol 2023; 28:384-392. [PMID: 37925157 DOI: 10.1016/j.slast.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/25/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Cholera is a waterborne disease caused by Vibrio cholerae bacteria generally transmitted through contaminated food or water sources. Although it has been eradicated in most Western countries, cholera continues to be a highly transmitted and lethal disease in several African and Southeast Asian countries. Unfortunately, current diagnostic methods for cholera have challenges including high cost or delayed diagnoses that can lead to increased disease transmission during pandemics, while current treatments such as therapeutic drugs and vaccines have limited efficacy against drug-resistant serogroups of Vibrio cholerae. As such, new solutions that can treat cholera in an efficient manner that avoids Vibrio cholerae's adaptive immunity are needed. Nanoparticles (NPs) are a suitable platform for enhancing current theranostic tools because of their biocompatibility and ability to improve drug circulation and targeting. Nanoparticle surfaces can also be modified with various protein receptors targeting cholera toxins produced by Vibrio cholerae. This review will address recent developments in diagnostics, therapeutics, and prevention against cholera particularly focusing on the use of metal-based nanoparticles and organic nanoparticles. We will then discuss future directions regarding nanoparticle research for cholera.
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Affiliation(s)
- Nathan Ho
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Kaitlyn Tang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Vy Ngo
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Isabella Livits
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Alayne Morrel
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Bari Noor
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Kaylee Tseng
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States
| | - Eun Ji Chung
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States; Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, United States; Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States; Division of Nephrology and Hypertension, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States; Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, United States.
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