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Lu SM, Zhang Y, Dong XT, Wang JL, Li Y, Liang LG. Microchip for detection of cell-free DNA in urine to help identify patients with bladder cancer. BJU Int 2024; 133:536-538. [PMID: 38288885 DOI: 10.1111/bju.16271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Affiliation(s)
- Si-Ming Lu
- Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Yu Zhang
- Department of Clinical pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-Tian Dong
- Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Jia-Long Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yang Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Li-Guo Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Lu S, Cuzzucoli F, Jiang J, Liang LG, Wang Y, Kong M, Zhao X, Cui W, Li J, Wang S. Development of a biomimetic liver tumor-on-a-chip model based on decellularized liver matrix for toxicity testing. Lab Chip 2018; 18:3379-3392. [PMID: 30298144 DOI: 10.1039/c8lc00852c] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Cancer poses a great health threat to both developed and developing countries, and anti-cancer drugs are of important interest for improved clinical outcomes. Although tumor-on-a-chip technologies offer a feasible approach to screening drug toxicity, their capability to mimic the native tumor microenvironment (TME) is still limited. For better mimicry of the TME, we developed a biomimetic three-dimensional (3D) liver tumor-on-a-chip with the integration of essential components derived from decellularized liver matrix (DLM) with gelatin methacryloyl (GelMA) in a microfluidics-based 3D dynamic cell culture system. The biomimetic liver tumor-on-a-chip based on the integration of DLM components with GelMA, as opposed to GelMA only, had an increased capability to maintain cell viability and to enhance hepatocyte functions under flow conditions. The improved performance of the DLM-GelMA-based tumor-on-a-chip may be attributed to the provision of biochemical factors (e.g., growth factors), the preservation of scaffold proteins, and the reestablishment of biophysical cues (e.g., stiffness and shear stress) for better recapitulation of the 3D liver TME. Furthermore, this DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to the toxicity of acetaminophen and sorafenib. Taken together, our study demonstrates that the DLM-GelMA-based biomimetic liver tumor-on-a-chip better mimics the in vivo TME and holds great promise for a breadth of pathological and pharmacological studies.
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Affiliation(s)
- Siming Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310003, China.
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Liang LG, Kong MQ, Zhou S, Sheng YF, Wang P, Yu T, Inci F, Kuo WP, Li LJ, Demirci U, Wang S. An integrated double-filtration microfluidic device for isolation, enrichment and quantification of urinary extracellular vesicles for detection of bladder cancer. Sci Rep 2017; 7:46224. [PMID: 28436447 PMCID: PMC5402302 DOI: 10.1038/srep46224] [Citation(s) in RCA: 171] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 03/13/2017] [Indexed: 01/20/2023] Open
Abstract
Extracellular vesicles (EVs), including exosomes and microvesicles, are present in a variety of bodily fluids, and the concentration of these sub-cellular vesicles and their associated biomarkers (proteins, nucleic acids, and lipids) can be used to aid clinical diagnosis. Although ultracentrifugation is commonly used for isolation of EVs, it is highly time-consuming, labor-intensive and instrument-dependent for both research laboratories and clinical settings. Here, we developed an integrated double-filtration microfluidic device that isolated and enriched EVs with a size range of 30–200 nm from urine, and subsequently quantified the EVs via a microchip ELISA. Our results showed that the concentration of urinary EVs was significantly elevated in bladder cancer patients (n = 16) compared to healthy controls (n = 8). Receiver operating characteristic (ROC) analysis demonstrated that this integrated EV double-filtration device had a sensitivity of 81.3% at a specificity of 90% (16 bladder cancer patients and 8 healthy controls). Thus, this integrated device has great potential to be used in conjunction with urine cytology and cystoscopy to improve clinical diagnosis of bladder cancer in clinics and at point-of-care (POC) settings.
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Affiliation(s)
- Li-Guo Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China.,Institute for Translational Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310029, China
| | - Meng-Qi Kong
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China.,Institute for Translational Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310029, China
| | - Sherry Zhou
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University, School of Medicine, Palo Alto, CA 94304 USA
| | - Ye-Feng Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China.,Institute for Translational Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310029, China
| | - Ping Wang
- Department of Urology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Tao Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China.,Institute for Translational Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310029, China
| | - Fatih Inci
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University, School of Medicine, Palo Alto, CA 94304 USA
| | - Winston Patrick Kuo
- Harvard Catalyst-Laboratory for Innovative Translational Technologies, Harvard Medical School, Boston, MA 02115, USA.,CloudHealth Genomics, Ltd, Shanghai, 201499, China
| | - Lan-Juan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University, School of Medicine, Palo Alto, CA 94304 USA.,Department of Electrical Engineering (By courtesy), Stanford University, Stanford, CA 94305, USA
| | - ShuQi Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China.,Institute for Translational Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310029, China.,Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University, School of Medicine, Palo Alto, CA 94304 USA
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Wang S, Lifson MA, Inci F, Liang LG, Sheng YF, Demirci U. Advances in addressing technical challenges of point-of-care diagnostics in resource-limited settings. Expert Rev Mol Diagn 2016; 16:449-59. [PMID: 26777725 DOI: 10.1586/14737159.2016.1142877] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The striking prevalence of HIV, TB and malaria, as well as outbreaks of emerging infectious diseases, such as influenza A (H7N9), Ebola and MERS, poses great challenges for patient care in resource-limited settings (RLS). However, advanced diagnostic technologies cannot be implemented in RLS largely due to economic constraints. Simple and inexpensive point-of-care (POC) diagnostics, which rely less on environmental context and operator training, have thus been extensively studied to achieve early diagnosis and treatment monitoring in non-laboratory settings. Despite great input from material science, biomedical engineering and nanotechnology for developing POC diagnostics, significant technical challenges are yet to be overcome. Summarized here are the technical challenges associated with POC diagnostics from a RLS perspective and the latest advances in addressing these challenges are reviewed.
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Affiliation(s)
- ShuQi Wang
- a State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine , Zhejiang University , Hangzhou , China.,b Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases , Hangzhou , China.,c Institute for Translational Medicine , Zhejiang University , Hangzhou , China.,d The Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology , Stanford School of Medicine, Stanford University , Palo Alto , CA , USA
| | - Mark A Lifson
- d The Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology , Stanford School of Medicine, Stanford University , Palo Alto , CA , USA
| | - Fatih Inci
- d The Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology , Stanford School of Medicine, Stanford University , Palo Alto , CA , USA
| | - Li-Guo Liang
- a State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine , Zhejiang University , Hangzhou , China.,b Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases , Hangzhou , China.,c Institute for Translational Medicine , Zhejiang University , Hangzhou , China
| | - Ye-Feng Sheng
- a State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine , Zhejiang University , Hangzhou , China.,b Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases , Hangzhou , China.,c Institute for Translational Medicine , Zhejiang University , Hangzhou , China.,d The Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology , Stanford School of Medicine, Stanford University , Palo Alto , CA , USA
| | - Utkan Demirci
- d The Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology , Stanford School of Medicine, Stanford University , Palo Alto , CA , USA
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