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Zhang G, Wang Z, Ma L, Li J, Han J, Zhu M, Zhang Z, Zhang S, Zhang X, Wang Z. Identification of Pancreatic Metastasis Cells and Cell Spheroids by the Organelle-Targeting Sensor Array. Adv Healthc Mater 2024; 13:e2400241. [PMID: 38456344 DOI: 10.1002/adhm.202400241] [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: 01/21/2024] [Indexed: 03/09/2024]
Abstract
Pancreatic cancer is a highly malignant and metastatic cancer. Pancreatic cancer can lead to liver metastases, gallbladder metastases, and duodenum metastases. The identification of pancreatic cancer cells is essential for the diagnosis of metastatic cancer and exploration of carcinoma in situ. Organelles play an important role in maintaining the function of cells, the various cells show significant differences in organelle microenvironment. Herein, six probes are synthesized for targeting mitochondria, lysosomes, cell membranes, endoplasmic reticulum, Golgi apparatus, and lipid droplets. The six fluorescent probes form an organelles-targeted sensor array (OT-SA) to image pancreatic metastatic cancer cells and cell spheroids. The homology of metastatic cancer cells brings the challenge for identification of these cells. The residual network (ResNet) model has been proven to automatically extract and select image features, which can figure out a subtle difference among similar samples. Hence, OT-SA is developed to identify pancreatic metastasis cells and cell spheroids in combination with ResNet analysis. The identification accuracy for the pancreatic metastasis cells (> 99%) and pancreatic metastasis cell spheroids (> 99%) in the test set is successfully achieved respectively. The organelles-targeting sensor array provides a method for the identification of pancreatic cancer metastasis in cells and cell spheroids.
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Affiliation(s)
- Guoyang Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zirui Wang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Lijun Ma
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Jiguang Li
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
- State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, National Chemical Experimental Teaching Demonstration Center, School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, 750021, China
| | - Jiahao Han
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Mingguang Zhu
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zixuan Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Shilong Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Xin Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zhuo Wang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
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2
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Song Y, Ya Y, Cen X, Tang D, Shi J, Wu Y, Luo H, Huang KJ, Tan X, Yan F. Multiple signal amplification strategy induced by biomarkers of lung cancer: A self-powered biosensing platform adapted for smartphones. Int J Biol Macromol 2024; 264:130661. [PMID: 38458292 DOI: 10.1016/j.ijbiomac.2024.130661] [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: 02/05/2024] [Revised: 03/03/2024] [Accepted: 03/04/2024] [Indexed: 03/10/2024]
Abstract
Lung cancer is a major malignant cancer with low survival rates, and early diagnosis is crucial for effective treatment. Herein, a biosensing platform that is self-powered derived from a capacitor-coupled EBFC has been developed for ultra-sensitive real-time identification of microRNA-21 (miRNA-21) with the assistance of a mobile phone. The flexible substrate of the platform is prepared on a carbon paper modified with graphdiyne and gold nanoparticles. The biosensor employs DNAzyme-mediated dual strand displacement amplification, which enhances the signal output intensity of the EBFC and improves selectivity. The coupling of the capacitor with the EBFC significantly amplifies the sensing signal, causing a 10.6-fold surge in current respond and further improving the sensitivity of the sensing platform. The established detection approach demonstrates a linear relationship varied from 0.0001 to 10,000 pM, with a sensitivity down to 32.3 aM as the minimum detectable limit, which has been effectively utilized for detecting miRNA-21 in practical samples. This sensing system provides strong support for the construction of portable detection devices, and the strategy of the platform construction provides an effective method for ultra-sensitive and accurate detection of miRNA, holding great potential in clinical diagnosis, prognosis evaluation, and drug screening for cancer.
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Affiliation(s)
- Yujie Song
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - Yu Ya
- Institute for Agricultural Product Quality Safety and Testing Technology, Guangxi Academy of Agricultural Sciences, Nanning 530007, China
| | - Xiaotian Cen
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - Danyao Tang
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - Jinyue Shi
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - YeYu Wu
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - Hu Luo
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China
| | - Ke-Jing Huang
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.
| | - Xuecai Tan
- Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.
| | - Feiyan Yan
- Institute for Agricultural Product Quality Safety and Testing Technology, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
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3
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Mustafa SK, Khan MF, Sagheer M, Kumar D, Pandey S. Advancements in biosensors for cancer detection: revolutionizing diagnostics. Med Oncol 2024; 41:73. [PMID: 38372827 DOI: 10.1007/s12032-023-02297-y] [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: 10/28/2023] [Accepted: 12/28/2023] [Indexed: 02/20/2024]
Abstract
Cancer stands as the reigning champion of life-threatening diseases, casting a shadow with the highest global mortality rate. Unleashing the power of early cancer treatment is a vital weapon in the battle for efficient and positive outcomes. Yet, conventional screening procedures wield limitations of exorbitant costs, time-consuming endeavors, and impracticality for repeated testing. Enter bio-marker-based cancer diagnostics, which emerge as a formidable force in the realm of early detection, disease progression assessment, and ultimate cancer therapy. These remarkable devices boast a reputation for their exceptional sensitivity, streamlined setup requirements, and lightning fast response times. In this study, we embark on a captivating exploration of the most recent advancements and enhancements in the field of electrochemical marvels, targeting the detection of numerous cancer biomarkers. With each breakthrough, we inch closer to a future where cancer's grip on humanity weakens, guided by the promise of personalized treatment and improved patient outcomes. Together, we unravel the mysteries that cancer conceals and illuminate a path toward triumph against this daunting adversary. This study celebrates the relentless pursuit of progress, where electrochemical innovations take center stage in the quest for a world free from the clutches of carcinoma.
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Affiliation(s)
- Syed Khalid Mustafa
- Department of Chemistry, Faculty of Science, University of Tabuk, P.O. Box 741, Zip 71491, Tabuk, Saudi Arabia.
| | - Mohd Farhan Khan
- Faculty of Science, Gagan College of Management & Technology, Aligarh, 202002, India
| | - Mehak Sagheer
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India
| | - Deepak Kumar
- Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Shoolini University, Solan, Himachal Pradesh, 173229, India
| | - Sadanand Pandey
- Faculty of Applied Sciences and Biotechnology, School of Bioengineering and Food Technology, Shoolini University, Solan, Himachal Pradesh, 173229, India.
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4
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Shaterabadi D, Zamani Sani M, Rahdan F, Taghizadeh M, Rafiee M, Dorosti N, Dianatinasab A, Taheri-Anganeh M, Asadi P, Khatami SH, Movahedpour A. MicroRNA biosensors in lung cancer. Clin Chim Acta 2024; 552:117676. [PMID: 38007056 DOI: 10.1016/j.cca.2023.117676] [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: 08/31/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
Lung cancer has been one of the leading causes of death over the past century. Unfortunately, the reliance on conventional methods to diagnose the phenotypic properties of tumors hinders early-stage cancer diagnosis. However, recent advancements in identifying disease-specific nucleotide biomarkers, particularly microRNAs, have brought us closer to early-stage detection. The roles of miR-155, miR-197, and miR-182 have been established in stage I lung cancer. Recent progress in synthesizing nanomaterials with higher conductivity has enhanced the diagnostic sensitivity of electrochemical biosensors, which can detect low concentrations of targeted biomarkers. Therefore, this review article focuses on exploring electrochemical biosensors based on microRNA in lung cancer.
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Affiliation(s)
- Donya Shaterabadi
- Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Zamani Sani
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fereshteh Rahdan
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Taghizadeh
- Department of Molecular Medicine, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maedeh Rafiee
- Department of Veterinary Sciences, University of Wyoming, 1174 Snowy Range Road, Laramie, WY 82070, USA
| | - Nafiseh Dorosti
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aria Dianatinasab
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mortaza Taheri-Anganeh
- Cellular and Molecular Research Center, Cellular and Molecular Medicine Research Institute, Urmia University of Medical Sciences, Urmia, Iran
| | - Peyman Asadi
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Seyyed Hossein Khatami
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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5
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Rahdan F, Bina F, Norouz Dolatabadi E, Shaterabadi D, Khatami SH, Karami Y, Dorosti N, Taheri-Anganeh M, Asadi P, Soltani R, Pashaei MR, Movahedpour A. MicroRNA electrochemical biosensors for pancreatic cancer. Clin Chim Acta 2023; 548:117472. [PMID: 37419303 DOI: 10.1016/j.cca.2023.117472] [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: 03/23/2023] [Revised: 07/03/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Pancreatic cancer (PC) is one of the deadliest cancers worldwide. MicroRNAs (miRs) are sensitive molecular diagnostic tools that can serve as highly accurate biomarkers in many disease states in general and cancer specifically. MiR-based electrochemical biosensors can be easily and inexpensively manufactured, making them suitable for clinical use and mass production for point-of-care use. This paper reviews nanomaterial-enhanced miR-based electrochemical biosensors in pancreatic cancer detection, analyzing both labeled and label-free approaches, as well as enzyme-based and enzyme-free methods.
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Affiliation(s)
- Fereshteh Rahdan
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fateme Bina
- Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elham Norouz Dolatabadi
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Donya Shaterabadi
- Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Seyyed Hossein Khatami
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yousof Karami
- Department of Clinical Science, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Nafiseh Dorosti
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mortaza Taheri-Anganeh
- Cellular and Molecular Research Center, Cellular and Molecular Medicine Research Institute, Urmia University of Medical Sciences, Urmia, Iran
| | - Peyman Asadi
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Rahmatollah Soltani
- Clinical Education Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Reza Pashaei
- Department of Internal Medicine, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran
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6
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Sengupta J, Hussain CM. CNT and Graphene-Based Transistor Biosensors for Cancer Detection: A Review. Biomolecules 2023; 13:1024. [PMID: 37509060 PMCID: PMC10377131 DOI: 10.3390/biom13071024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 07/30/2023] Open
Abstract
An essential aspect of successful cancer diagnosis is the identification of malignant tumors during the early stages of development, as this can significantly diminish patient mortality rates and increase their chances of survival. This task is facilitated by cancer biomarkers, which play a crucial role in determining the stage of cancer cells, monitoring their growth, and evaluating the success of treatment. However, conventional cancer detection methods involve several intricate steps, such as time-consuming nucleic acid amplification, target detection, and a complex treatment process that may not be appropriate for rapid screening. Biosensors are emerging as promising diagnostic tools for detecting cancer, and carbon nanotube (CNT)- and graphene-based transistor biosensors have shown great potential due to their unique electrical and mechanical properties. These biosensors have high sensitivity and selectivity, allowing for the rapid detection of cancer biomarkers at low concentrations. This review article discusses recent advances in the development of CNT- and graphene-based transistor biosensors for cancer detection.
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Affiliation(s)
- Joydip Sengupta
- Department of Electronic Science, Jogesh Chandra Chaudhuri College, Kolkata 700033, India
| | - Chaudhery Mustansar Hussain
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, NJ 07102, USA
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7
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Zou X, Huang Z, Guan C, Shi W, Gao J, Wang J, Cui Y, Wang M, Xu Y, Zhong X. Exosomal miRNAs in the microenvironment of pancreatic cancer. Clin Chim Acta 2023; 544:117360. [PMID: 37086943 DOI: 10.1016/j.cca.2023.117360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/17/2023] [Accepted: 04/17/2023] [Indexed: 04/24/2023]
Abstract
Pancreatic cancer (PC) is highly aggressive having an extremely poor prognosis. The tumor microenvironment (TME) of PC is complex and heterogeneous. Various cellular components in the microenvironment are capable of secreting different active substances that are involved in promoting tumor development. Their release may occur via exosomes, the most abundant extracellular vesicles (EVs), that can carry numerous factors as well as act as a mean of intercellular communication. Emerging evidence suggests that miRNAs are involved in the regulation and control of many pathological and physiological processes. They can also be transported by exosomes from donor cells to recipient cells, thereby regulating the TME. Exosomal miRNAs show promise for use as future targets for PC diagnosis and prognosis, which may reveal new treatment strategies for PC. In this paper, we review the important role of exosomal miRNAs in mediating cellular communication in the TME of PC as well as their potential use in clinical applications.
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Affiliation(s)
- Xinlei Zou
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Ziyue Huang
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Canghai Guan
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Wujiang Shi
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jianjun Gao
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jiangang Wang
- Central hospital of Baoji, Baoji, Shaanxi 721000, China
| | - Yunfu Cui
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Mei Wang
- Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi 563006, China
| | - Yi Xu
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China; Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi 563006, China; Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 999077, Hong Kong; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China; Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou 310000, China; State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
| | - Xiangyu Zhong
- Department of Hepatopancreatobiary Surgery, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
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8
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Pini F, Francés-Soriano L, Andrigo V, Natile MM, Hildebrandt N. Optimizing Upconversion Nanoparticles for FRET Biosensing. ACS NANO 2023; 17:4971-4984. [PMID: 36867492 DOI: 10.1021/acsnano.2c12523] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Upconversion nanoparticles (UCNPs) are some of the most promising nanomaterials for bioanalytical and biomedical applications. One important challenge to be still solved is how UCNPs can be optimally implemented into Förster resonance energy transfer (FRET) biosensing and bioimaging for highly sensitive, wash-free, multiplexed, accurate, and precise quantitative analysis of biomolecules and biomolecular interactions. The many possible UCNP architectures composed of a core and multiple shells doped with different lanthanoid ions at different ratios, the interaction with FRET acceptors at different possible distances and orientations via biomolecular interaction, and the many and long-lasting energy transfer pathways from the initial UCNP excitation to the final FRET process and acceptor emission make the experimental determination of the ideal UCNP-FRET configuration for optimal analytical performance a real challenge. To overcome this issue, we have developed a fully analytical model that requires only a few experimental configurations to determine the ideal UCNP-FRET system within a few minutes. We verified our model via experiments using nine different Nd-, Yb-, and Er-doped core-shell-shell UCNP architectures within a prototypical DNA hybridization assay using Cy3.5 as an acceptor dye. Using the selected experimental input, the model determined the optimal UCNP out of all theoretically possible combinatorial configurations. An extreme economy of time, effort, and material was accompanied by a significant sensitivity increase, which demonstrated the powerful feat of combining a few selected experiments with sophisticated but rapid modeling to accomplish an ideal FRET biosensor.
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Affiliation(s)
- Federico Pini
- Laboratoire COBRA, Université de Rouen Normandie, CNRS, INSA Rouen, Normandie Université, 76000 Rouen, France
- Istituto di Chimica della Materia Condensata e Tecnologie per l'Energia (ICMATE), Consiglio Nazionale delle Ricerche (CNR), 35131 Padova, Italy
- Dipartimento di Scienze Chimiche, Università di Padova, 35131 Padova, Italy
| | - Laura Francés-Soriano
- Laboratoire COBRA, Université de Rouen Normandie, CNRS, INSA Rouen, Normandie Université, 76000 Rouen, France
- Instituto de Ciencia Molecular (ICMol), University of Valencia, 46980 Valencia, Spain
| | - Vittoria Andrigo
- Istituto di Chimica della Materia Condensata e Tecnologie per l'Energia (ICMATE), Consiglio Nazionale delle Ricerche (CNR), 35131 Padova, Italy
- Dipartimento di Scienze Chimiche, Università di Padova, 35131 Padova, Italy
| | - Marta Maria Natile
- Istituto di Chimica della Materia Condensata e Tecnologie per l'Energia (ICMATE), Consiglio Nazionale delle Ricerche (CNR), 35131 Padova, Italy
- Dipartimento di Scienze Chimiche, Università di Padova, 35131 Padova, Italy
| | - Niko Hildebrandt
- Laboratoire COBRA, Université de Rouen Normandie, CNRS, INSA Rouen, Normandie Université, 76000 Rouen, France
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
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9
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Wnuk J, Strzelczyk JK, Gisterek I. Clinical Value of Circulating miRNA in Diagnosis, Prognosis, Screening and Monitoring Therapy of Pancreatic Ductal Adenocarcinoma-A Review of the Literature. Int J Mol Sci 2023; 24:ijms24065113. [PMID: 36982210 PMCID: PMC10049684 DOI: 10.3390/ijms24065113] [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: 02/08/2023] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023] Open
Abstract
Pancreatic cancer (PC) is considered to be the seventh most common cause of cancer-related deaths. The number of deaths caused by PC is estimated to increase in the future. An early diagnosis of PC is crucial for improving treatment outcomes. The most common histopathological subtype of PC is pancreatic ductal adenocarcinoma (PDAC). MicroRNAs (miRNAs)-which are endogenous non-coding RNAs involved in the posttranscriptional regulation of multiple gene expression-constitute useful diagnostic and prognostic biomarkers in various neoplasms, including PDAC. Circulating miRNAs detected in a patient's serum or plasma are drawing more and more attention. Hence, this review aims at evaluating the clinical value of circulating miRNA in the screening, diagnosis, prognosis and monitoring of pancreatic ductal adenocarcinoma therapy.
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Affiliation(s)
- Jakub Wnuk
- Department of Oncology and Radiotherapy, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 35 Ceglana St., 40-515 Katowice, Poland
| | - Joanna Katarzyna Strzelczyk
- Department of Medical and Molecular Biology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 19 Jordana St., 41-808 Zabrze, Poland
| | - Iwona Gisterek
- Department of Oncology and Radiotherapy, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 35 Ceglana St., 40-515 Katowice, Poland
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10
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Sanko V, Kuralay F. Label-Free Electrochemical Biosensor Platforms for Cancer Diagnosis: Recent Achievements and Challenges. BIOSENSORS 2023; 13:bios13030333. [PMID: 36979545 PMCID: PMC10046346 DOI: 10.3390/bios13030333] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/17/2023] [Accepted: 02/23/2023] [Indexed: 05/31/2023]
Abstract
With its fatal effects, cancer is still one of the most important diseases of today's world. The underlying fact behind this scenario is most probably due to its late diagnosis. That is why the necessity for the detection of different cancer types is obvious. Cancer studies including cancer diagnosis and therapy have been one of the most laborious tasks. Since its early detection significantly affects the following therapy steps, cancer diagnosis is very important. Despite researchers' best efforts, the accurate and rapid diagnosis of cancer is still challenging and difficult to investigate. It is known that electrochemical techniques have been successfully adapted into the cancer diagnosis field. Electrochemical sensor platforms that are brought together with the excellent selectivity of biosensing elements, such as nucleic acids, aptamers or antibodies, have put forth very successful outputs. One of the remarkable achievements of these biomolecule-attached sensors is their lack of need for additional labeling steps, which bring extra burdens such as interference effects or demanding modification protocols. In this review, we aim to outline label-free cancer diagnosis platforms that use electrochemical methods to acquire signals. The classification of the sensing platforms is generally presented according to their recognition element, and the most recent achievements by using these attractive sensing substrates are described in detail. In addition, the current challenges are discussed.
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Affiliation(s)
- Vildan Sanko
- Department of Chemistry, Gebze Technical University, 41400 Kocaeli, Turkey
| | - Filiz Kuralay
- Department of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey
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11
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Søreide K, Ismail W, Roalsø M, Ghotbi J, Zaharia C. Early Diagnosis of Pancreatic Cancer: Clinical Premonitions, Timely Precursor Detection and Increased Curative-Intent Surgery. Cancer Control 2023; 30:10732748231154711. [PMID: 36916724 PMCID: PMC9893084 DOI: 10.1177/10732748231154711] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The overall poor prognosis in pancreatic cancer is related to late clinical detection. Early diagnosis remains a considerable challenge in pancreatic cancer. Unfortunately, the onset of clinical symptoms in patients usually indicate advanced disease or presence of metastasis. ANALYSIS AND RESULTS Currently, there are no designated diagnostic or screening tests for pancreatic cancer in clinical use. Thus, identifying risk groups, preclinical risk factors or surveillance strategies to facilitate early detection is a target for ongoing research. Hereditary genetic syndromes are a obvious, but small group at risk, and warrants close surveillance as suggested by society guidelines. Screening for pancreatic cancer in asymptomatic individuals is currently associated with the risk of false positive tests and, thus, risk of harms that outweigh benefits. The promise of cancer biomarkers and use of 'omics' technology (genomic, transcriptomics, metabolomics etc.) has yet to see a clinical breakthrough. Several proposed biomarker studies for early cancer detection lack external validation or, when externally validated, have shown considerably lower accuracy than in the original data. Biopsies or tissues are often taken at the time of diagnosis in research studies, hence invalidating the value of a time-dependent lag of the biomarker to detect a pre-clinical, asymptomatic yet operable cancer. New technologies will be essential for early diagnosis, with emerging data from image-based radiomics approaches, artificial intelligence and machine learning suggesting avenues for improved detection. CONCLUSIONS Early detection may come from analytics of various body fluids (eg 'liquid biopsies' from blood or urine). In this review we present some the technological platforms that are explored for their ability to detect pancreatic cancer, some of which may eventually change the prospects and outcomes of patients with pancreatic cancer.
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Affiliation(s)
- Kjetil Søreide
- Department of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, 60496Stavanger University Hospital, Stavanger, Norway
| | - Warsan Ismail
- Department of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway
| | - Marcus Roalsø
- Department of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.,Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, 60496Stavanger University Hospital, Stavanger, Norway.,Department of Quality and Health Technology, 60496University of Stavanger, Stavanger, Norway
| | - Jacob Ghotbi
- Department of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway
| | - Claudia Zaharia
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, 60496Stavanger University Hospital, Stavanger, Norway.,Department of Pathology, 60496Stavanger University Hospital, Stavanger, Norway
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12
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Jan Z, El Assadi F, Abd-alrazaq A, Jithesh PV. Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review (Preprint).. [DOI: 10.2196/preprints.44248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
BACKGROUND
Pancreatic cancer is the 12th most common cancer worldwide, with an overall survival rate of 4.9%. Early diagnosis of pancreatic cancer is essential for timely treatment and survival. Artificial intelligence (AI) provides advanced models and algorithms for better diagnosis of pancreatic cancer.
OBJECTIVE
This study aims to explore AI models used for the prediction and early diagnosis of pancreatic cancers as reported in the literature.
METHODS
A scoping review was conducted and reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. PubMed, Google Scholar, Science Direct, BioRXiv, and MedRxiv were explored to identify relevant articles. Study selection and data extraction were independently conducted by 2 reviewers. Data extracted from the included studies were synthesized narratively.
RESULTS
Of the 1185 publications, 30 studies were included in the scoping review. The included articles reported the use of AI for 6 different purposes. Of these included articles, AI techniques were mostly used for the diagnosis of pancreatic cancer (14/30, 47%). Radiological images (14/30, 47%) were the most frequently used data in the included articles. Most of the included articles used data sets with a size of <1000 samples (11/30, 37%). Deep learning models were the most prominent branch of AI used for pancreatic cancer diagnosis in the studies, and the convolutional neural network was the most used algorithm (18/30, 60%). Six validation approaches were used in the included studies, of which the most frequently used approaches were k-fold cross-validation (10/30, 33%) and external validation (10/30, 33%). A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms.
CONCLUSIONS
This review presents an overview of studies based on AI models and algorithms used to predict and diagnose pancreatic cancer patients. AI is expected to play a vital role in advancing pancreatic cancer prediction and diagnosis. Further research is required to provide data that support clinical decisions in health care.
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13
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Jiao X, Peng T, Liang Z, Hu Y, Meng B, Zhao Y, Xie J, Gong X, Jiang Y, Fang X, Yu X, Dai X. Lateral Flow Immunoassay Based on Time-Resolved Fluorescence Microspheres for Rapid and Quantitative Screening CA199 in Human Serum. Int J Mol Sci 2022; 23:ijms23179991. [PMID: 36077387 PMCID: PMC9456114 DOI: 10.3390/ijms23179991] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/26/2022] [Accepted: 08/30/2022] [Indexed: 11/16/2022] Open
Abstract
Carbohydrate antigen 199 (CA199) is a serum biomarker which has certain value and significance in the diagnosis, prognosis, treatment, and postoperative monitoring of cancer. In this study, a lateral flow immunoassay based on europium (III) polystyrene time-resolved fluorescence microspheres (TRFM-based LFIA), integrated with a portable fluorescence reader, has been successfully establish for rapid and quantitative analysis of CA199 in human serum. Briefly, time-resolved fluorescence microspheres (TRFMs) were conjugated with antibody I (Ab1) against CA199 as detection probes, and antibody II (Ab2) was coated as capture element, and a “TRFMs-Ab1-CA199-Ab2” sandwich format would form when CA199 was detected by the TRFM-based LFIA. Under the optimal parameters, the detection limit of the TRFM-based LFIA for visible quantitation with the help of an ultraviolet light was 4.125 U/mL, which was four times lower than that of LFIA based on gold nanoparticles. Additionally, the fluorescence ratio is well linearly correlated with the CA199 concentration (0.00–66.0 U/mL) and logarithmic concentration (66.0–264.0 U/mL) for quantitative detection. Serum samples from 10 healthy people and 10 liver cancer patients were tested to confirm the performances of the point-of-care application of the TRFM-based LFIA, 20.0 U/mL of CA199 in human serum was defined as the threshold for distinguishing healthy people from liver cancer patients with an accuracy of about 60%. The establishment of TRFM-based LFIA will provide a sensitive, convenient, and efficient technical support for rapid screening of CA199 in cancer diagnosis and prognosis.
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Affiliation(s)
- Xueshima Jiao
- College of Life Sciences, China Jiliang University, Hangzhou 310018, China
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Tao Peng
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Zhanwei Liang
- College of Life Sciences, China Jiliang University, Hangzhou 310018, China
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Yalin Hu
- College of Life Sciences, China Jiliang University, Hangzhou 310018, China
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Bo Meng
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Yang Zhao
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Jie Xie
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Xiaoyun Gong
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - You Jiang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Xiang Fang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
| | - Xiaoping Yu
- College of Life Sciences, China Jiliang University, Hangzhou 310018, China
- Correspondence: (X.Y.); (X.D.); Tel.: +86-010-64524208 (X.D.); Fax: +86-010-64524962 (X.D.)
| | - Xinhua Dai
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
- Correspondence: (X.Y.); (X.D.); Tel.: +86-010-64524208 (X.D.); Fax: +86-010-64524962 (X.D.)
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14
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McArthur N, Cruz-Teran C, Thatavarty A, Reeves GT, Rao BM. Experimental and Analytical Framework for "Mix-and-Read" Assays Based on Split Luciferase. ACS OMEGA 2022; 7:24551-24560. [PMID: 35874239 PMCID: PMC9301641 DOI: 10.1021/acsomega.2c02319] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The use of immunodetection assays including the widely used enzyme-linked immunosorbent assay (ELISA) in applications such as point-of-care detection is often limited by the need for protein immobilization and multiple binding and washing steps. Here, we describe an experimental and analytical framework for the development of simple and modular "mix-and-read" enzymatic complementation assays based on split luciferase that enable sensitive detection and quantification of analytes in solution. In this assay, two engineered protein binders targeting nonoverlapping epitopes on the target analyte were each fused to nonactive fragments of luciferase to create biosensor probes. Binding proteins to two model targets, lysozyme and Sso6904, were isolated from a combinatorial library of Sso7d mutants using yeast surface display. In the presence of the analyte, probes were brought into close proximity, reconstituting enzymatic activity of luciferase and enabling detection of low picomolar concentrations of the analyte by chemiluminescence. Subsequently, we constructed an equilibrium binding model that relates binding affinities of the binding proteins for the target, assay parameters such as the concentrations of probes used, and assay performance (limit of detection and concentration range over which the target can be quantified). Overall, our experimental and analytical framework provides the foundation for the development of split luciferase assays for detection and quantification of various targets.
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Affiliation(s)
- Nikki McArthur
- Department
of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Carlos Cruz-Teran
- Department
of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Apoorva Thatavarty
- Department
of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Gregory T. Reeves
- Department
of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
- Interdisciplinary
Program in Genetics, Texas A&M University, College Station, Texas 77843, United States
| | - Balaji M. Rao
- Department
of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
- Golden
LEAF Biomanufacturing Training and Education Center (BTEC), North Carolina State University, Raleigh, North Carolina 27695, United States
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15
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Kumela AG, Gemta AB, Desta TA, Kebede A. Noble classical and quantum approach to model the optical properties of metallic nanoparticles to enhance the sensitivity of optoplasmonic sensors. RSC Adv 2022; 12:16203-16214. [PMID: 35755132 PMCID: PMC9173576 DOI: 10.1039/d2ra00824f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/20/2022] [Indexed: 12/22/2022] Open
Abstract
The bright light obtained from the quantum principle has a key role in the construction of optical sensors. Yet, theoretical and experimental work highlights the challenges of overcoming the high cost and low efficiency of such sensors. Therefore, we report a metallic nanoparticle-based metasurface plasmons polariton using quantum and classical models. We have investigated the material properties, absorption cross-section, scattering cross-section, and efficiency of the classical model. By quantizing light-matter interaction, the quantum features of light - degree of squeezing, correlation, and entanglement are quantified numerically and computationally. In addition, we note the penetration depth and propagation length from a hybrid model in order to enhance the optoplasmonic sensor performance for imaging, diagnosing, and early perception of cancer cells with label-free, direct, and real-time detection. Our study findings conclude that the frequency of incident light, size, shape, and type of nanoparticles has a significant impact on the optical properties of metallic nanoparticles and the nonlinear optical properties of metallic nanoparticles are dynamic, enhancing the sensitivity of the optoplasmonic sensor. Moreover, the resulting bright light shows the systematic potential for further medical image processing.
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Affiliation(s)
| | | | | | - Alemu Kebede
- Adama Science and Technology University Adama Ethiopia
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16
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Application of Green Gold Nanoparticles in Cancer Therapy and Diagnosis. NANOMATERIALS 2022; 12:nano12071102. [PMID: 35407220 PMCID: PMC9000429 DOI: 10.3390/nano12071102] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/22/2022] [Accepted: 03/23/2022] [Indexed: 02/06/2023]
Abstract
Nanoparticles are currently used for cancer theranostics in the clinical field. Among nanoparticles, gold nanoparticles (AuNPs) attract much attention due to their usability and high performance in imaging techniques. The wide availability of biological precursors used in plant-based synthesized AuNPs allows for the development of large-scale production in a greener manner. Conventional cancer therapies, such as surgery and chemotherapy, have significant limitations and frequently fail to produce satisfying results. AuNPs have a prolonged circulation time, allow easy modification with ligands detected via cancer cell surface receptors, and increase uptake through receptor-mediated endocytosis. To exploit these unique features, studies have been carried out on the use of AuNPs as contrast agents for X-ray-based imaging techniques (i.e., computed tomography). As nanocarriers, AuNPs synthesized by nontoxic and biocompatible plants to deliver therapeutic biomolecules could be a significant stride forward in the effective treatment of various cancers. Fluorescent-plant-based markers, including AuNPs, fabricated using Medicago sativa, Olax Scandens, H. ambavilla, and H. lanceolatum, have been used in detecting cancers. Moreover, green synthesized AuNPs using various extracts have been applied for the treatment of different types of solid tumors. However, the cytotoxicity of AuNPs primarily depends on their size, surface reactivity, and surface area. In this review, the benefits of plant-based materials in cancer therapy are firstly explained. Then, considering the valuable position of AuNPs in medicine, the application of AuNPs in cancer therapy and detection is highlighted with an emphasis on limitations faced by the application of such NPs in drug delivery platforms.
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17
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Sharafeldin M, Davis JJ. Characterising the biosensing interface. Anal Chim Acta 2022; 1216:339759. [DOI: 10.1016/j.aca.2022.339759] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/08/2022] [Accepted: 03/22/2022] [Indexed: 12/19/2022]
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18
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Chen J, Li P, Zhang T, Xu Z, Huang X, Wang R, Du L. Review on Strategies and Technologies for Exosome Isolation and Purification. Front Bioeng Biotechnol 2022; 9:811971. [PMID: 35071216 PMCID: PMC8766409 DOI: 10.3389/fbioe.2021.811971] [Citation(s) in RCA: 193] [Impact Index Per Article: 96.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/09/2021] [Indexed: 12/13/2022] Open
Abstract
Exosomes, a nano-sized subtype of extracellular vesicles secreted from almost all living cells, are capable of transferring cell-specific constituents of the source cell to the recipient cell. Cumulative evidence has revealed exosomes play an irreplaceable role in prognostic, diagnostic, and even therapeutic aspects. A method that can efficiently provide intact and pure exosomes samples is the first step to both exosome-based liquid biopsies and therapeutics. Unfortunately, common exosomal separation techniques suffer from operation complexity, time consumption, large sample volumes and low purity, posing significant challenges for exosomal downstream analysis. Efficient, simple, and affordable methods to isolate exosomes are crucial to carrying out relevant researches. In the last decade, emerging technologies, especially microfluidic chips, have proposed superior strategies for exosome isolation and exhibited fascinating performances. While many excellent reviews have overviewed various methods, a compressive review including updated/improved methods for exosomal isolation is indispensable. Herein, we first overview exosomal properties, biogenesis, contents, and functions. Then, we briefly outline the conventional technologies and discuss the challenges of clinical applications of these technologies. Finally, we review emerging exosomal isolation strategies and large-scale GMP production of engineered exosomes to open up future perspectives of next-generation Exo-devices for cancer diagnosis and treatment.
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Affiliation(s)
- Jiaci Chen
- State Key Laboratory of Biobased Material and Green Papermaking, Department of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Peilong Li
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Taiyi Zhang
- State Key Laboratory of Biobased Material and Green Papermaking, Department of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Zhipeng Xu
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Xiaowen Huang
- State Key Laboratory of Biobased Material and Green Papermaking, Department of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Ruiming Wang
- State Key Laboratory of Biobased Material and Green Papermaking, Department of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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19
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Sharifianjazi F, Jafari Rad A, Bakhtiari A, Niazvand F, Esmaeilkhanian A, Bazli L, Abniki M, Irani M, Moghanian A. Biosensors and nanotechnology for cancer diagnosis (lung and bronchus, breast, prostate, and colon): a systematic review. Biomed Mater 2021; 17. [PMID: 34891145 DOI: 10.1088/1748-605x/ac41fd] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/10/2021] [Indexed: 12/22/2022]
Abstract
The second cause of death in the world has been reported to be cancer, and it has been on the rise in recent years. As a result of the difficulties of cancer detection and its treatment, the survival rate of patients is unclear. The early detection of cancer is an important issue for its therapy. Cancer detection based on biomarkers may effectively enhance the early detection and subsequent treatment. Nanomaterial-based nanobiosensors for cancer biomarkers are excellent tools for the molecular detection and diagnosis of disease. This review reports the latest advancement and attainment in applying nanoparticles to the detection of cancer biomarkers. In this paper, the recent advances in the application of common nanomaterials like graphene, carbon nanotubes, Au, Ag, Pt, and Fe3O4together with newly emerged nanoparticles such as quantum dots, upconversion nanoparticles, inorganics (ZnO, MoS2), and metal-organic frameworks for the diagnosis of biomarkers related to lung, prostate, breast, and colon cancer are highlighted. Finally, the challenges, outlook, and closing remarks are given.
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Affiliation(s)
| | - Azadeh Jafari Rad
- Department of Chemistry, Islamic Azad University, Omidiyeh Branch, Omidiyeh, Iran
| | | | - Firoozeh Niazvand
- School of Medicine, Abadan University of Medical Sciences, Abadan, Iran
| | | | - Leila Bazli
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran
| | - Milad Abniki
- Department of Resin and Additives, Institute for Color Science and Technology, Tehran, Iran
| | - Mohammad Irani
- Dentistry Clinical Research Development Unit, Alborz University of Medical Sciences, Karaj, Iran
| | - Amirhossein Moghanian
- Department of Materials Engineering, Imam Khomeini International University, Qazvin 34149-16818, Iran
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20
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Yadav N, Dahiya T, Chhillar AK, Rana JS, Mohan H. Promising Applications of Nanotechnology in Cancer Diagnostics and Therapeutics. Curr Pharm Biotechnol 2021; 23:1556-1568. [PMID: 34951360 DOI: 10.2174/1389201023666211222165508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/12/2021] [Accepted: 11/19/2021] [Indexed: 11/22/2022]
Abstract
Cancer is characterized by the accumulation of genetic mutations in cells by different types of mutagens such as physical, chemical, and biological. Consequently, normal cell cycles get interrupted. Conventional techniques used for diagnosis include. Various conventional techniques used for cancer diagnosis include immunological assays, histopathogical tests, polymerase chain reaction, computed tomography, magnetic resonance, radiation therapy, and many more. These techniques are expensive, time consuming, tedious, adverse effects to healthy cells and requirement of skilled personnel for their operation. Therefore nanomaterials based biosensors have been used for the sensitive, selective, economic and quick detection of cancer biomarkers. Electrochemical biosensors have shown profound impact in efficient diagnosis of cancers that facilitate the effective treatment of patient in acute stage. Nanomaterials including inorganic, organic and polymeric nanomaterials have been used in the treatment of different types of cancers. Nanoapproaches have offered several merits including site-specific, require traces amount of therapeutic molecules, limited toxicity, avoid drug resistance, more efficient, sensitive and reliable than conventional chemotherapeutics and radiation therapies. Therefore, future research should be focussed on development of highly inventive nanotools for the diagnosis and therapeutics of cancers.
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Affiliation(s)
- Neelam Yadav
- Department of Biotechnology, Deenbandhu Chhotu Ram University of Science and Technology, -131039, Haryana. India
| | - Twinkle Dahiya
- Department of Biotechnology, Deenbandhu Chhotu Ram University of Science and Technology, -131039, Haryana. India
| | - Anil Kumar Chhillar
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak-124001, Haryana. India
| | - Jogender Singh Rana
- Department of Biotechnology, Deenbandhu Chhotu Ram University of Science and Technology, -131039, Haryana. India
| | - Hari Mohan
- Centre for Medical Biotechnology, Maharshi Dayanand University, Rohtak-124001, Haryana. India
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21
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Chen Z, Song H, Zeng X, Quan M, Gao Y. Screening and discrimination of optimal prognostic genes for pancreatic cancer based on a prognostic prediction model. G3 (BETHESDA, MD.) 2021; 11:6355586. [PMID: 34499727 PMCID: PMC8527504 DOI: 10.1093/g3journal/jkab296] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/14/2021] [Indexed: 02/06/2023]
Abstract
The prognosis of pancreatic cancer is poor because patients are usually asymptomatic in the early stage and the early diagnostic rate is low. Therefore, in this study, we aimed to identify potential prognosis-related genes in pancreatic cancer to improve diagnosis and the outcome of patients. The mRNA expression profile data from The Cancer Genome Atlas database and GSE79668, GSE62452, and GSE28735 datasets from Gene Expression Omnibus were downloaded. The prognosis-relevant genes and clinical factors were analyzed using Cox regression analysis and the optimal gene sets were screened using the Cox proportional model. Next, the Kaplan-Meier survival analysis was used to evaluate the relationship between risk grouping and patient prognosis. Finally, an optimal gene-based prognosis prediction model was constructed and validated using a test dataset to discriminate the model accuracy and reliability. The results showed that 325 expression variable genes were identified, and 48 prognosis-relevant genes and three clinical factors, including lymph node stage (pathologic N), new tumor, and targeted molecular therapy were preliminarily obtained. In addition, a gene set containing 16 optimal genes was identified and included FABP6, MAL, KIF19, and REG4, which were significantly associated with the prognosis of pancreatic cancer. Moreover, a prognosis prediction model was constructed and validated to be relatively accurate and reliable. In conclusion, a gene set consisting of 16 prognosis-related genes was identified and a prognosis prediction model was constructed, which is expected to be applicable in the clinical diagnosis and treatment guidance of pancreatic cancer in the future.
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Affiliation(s)
| | | | | | - Ming Quan
- Department of Oncology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, China
| | - Yong Gao
- Department of Oncology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, China
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22
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Label-free electrochemical-immunoassay of cancer biomarkers: Recent progress and challenges in the efficient diagnosis of cancer employing electroanalysis and based on point of care (POC). Microchem J 2021. [DOI: 10.1016/j.microc.2021.106424] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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23
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Xie J, Zhou X, Wang R, Zhao J, Tang J, Zhang Q, Du Y, Pang Y. Identification of potential diagnostic biomarkers in MMPs for pancreatic carcinoma. Medicine (Baltimore) 2021; 100:e26135. [PMID: 34114996 PMCID: PMC8202616 DOI: 10.1097/md.0000000000026135] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/05/2021] [Indexed: 02/02/2023] Open
Abstract
Pancreatic cancer (PC) is a malignant tumor which ranks fourth in cancer-related death. However, the specificity and sensitivity of traditional biomarkers such as carbohydrate antigen 19-9 no longer meet the clinical requirements.Tools as ONCOMINE and Gene Expression Profiling Interactive Analysis (GEPIA) were used to analyze the differential expression of matrix metalloproteinases (MMPs) in PC and adjacent tissues. For further analysis, we adopted database for annotation, visualization and integrated discovery (DAVID 6.8), transcriptional regulatory relationships unraveled by sentence-based text (TRRUST) and other tools. We also identified drugs targeted the selected MMPs.Eight MMPs (MMP1, MMP2, MMP7, MMP9, MMP11, MMP12, MMP14, and MMP28) were differentially expressed in PC and adjacent tissue. MMP1 (P = .0189), MMP7 (P = .000216), MMP11 (P = .0209), MMP14 (P = .00611) were correlated with the pathological stages of PC. Patients with higher expression of MMP1 (P = .0011), MMP2 (P = .011), MMP7 (P = .0081), MMP9 (P = .046), MMP11 (P = .0019), MMP12 (P = .0011), MMP14 (P = .0011), and MMP28 (P = 6.3e-06) showed poor prognosis. Ten transcription factors were associated with the up-regulation of selected MMPs. Marimastat (DB00786) was found to target selected MMPs.Our research revealed that selected MMPs played an important role in the early diagnosis and prognosis of PC.
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Affiliation(s)
- Junhao Xie
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
| | - Xianzhu Zhou
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
| | - Rui Wang
- Department of Chemistry & State Key Laboratory of Molecular Engineering of Polymers, Fudan University
| | - Jiulong Zhao
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
| | - Jian Tang
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
| | - Qichen Zhang
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
| | - Yiqi Du
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Yanan Pang
- Department of Gastroenterology, Changhai Hospital, Navy Medical University
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
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24
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Wang Y, Zheng D. The importance of precision medicine in modern molecular oncology. Clin Genet 2021; 100:248-257. [PMID: 33997970 DOI: 10.1111/cge.13998] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 05/13/2021] [Accepted: 05/14/2021] [Indexed: 12/12/2022]
Abstract
With the rapid development of modern medical technology, information data modeling has been gradually applied to clinical diagnosis and treatment. Precision medicine is an important approach that focuses on individual patients in terms of their own characteristics, genomic information, proteomics and even social environments. Genome-wide high-throughput technologies, including DNA-seq, RNA-seq, exosome-seq…, contribute enormous amounts of molecular data to aid in diagnosis and analysis. Here, we review the developmental history of different next-generation sequencing platforms, introduce their applications in different tumor diagnosis and therapy, and further discuss the remaining challenges in precision medicine.
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Affiliation(s)
- Yuanli Wang
- The Precision Medicine Laboratory, The First People's Hospital of Qinzhou, Qinzhou, China
| | - Dawu Zheng
- The Precision Medicine Laboratory, The First People's Hospital of Qinzhou, Qinzhou, China
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Amri F, Septiani NLW, Rezki M, Iqbal M, Yamauchi Y, Golberg D, Kaneti YV, Yuliarto B. Mesoporous TiO 2-based architectures as promising sensing materials towards next-generation biosensing applications. J Mater Chem B 2021; 9:1189-1207. [PMID: 33406200 DOI: 10.1039/d0tb02292f] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In the past two decades, mesoporous TiO2 has emerged as a promising material for biosensing applications. In particular, mesoporous TiO2 materials with uniform, well-organized pores and high surface areas typically exhibit superior biosensing performance, which includes high sensitivity, broad linear response, low detection limit, good reproducibility, and high specificity. Therefore, the development of biosensors based on mesoporous TiO2 has significantly intensified in recent years. In this review, the expansion and advancement of mesoporous TiO2-based biosensors for glucose detection, hydrogen peroxide detection, alpha-fetoprotein detection, immobilization of enzymes, proteins, and bacteria, cholesterol detection, pancreatic cancer detection, detection of DNA damage, kanamycin detection, hypoxanthine detection, and dichlorvos detection are summarized. Finally, the future perspective and research outlook on the utilization of mesoporous TiO2-based biosensors for the practical diagnosis of diseases and detection of hazardous substances are also given.
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Affiliation(s)
- Fauzan Amri
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia.
| | - Ni Luh Wulan Septiani
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia.
| | - Muhammad Rezki
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia.
| | - Muhammad Iqbal
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia.
| | - Yusuke Yamauchi
- JST-ERATO Yamauchi Materials Space-Tectonics Project and International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), 1-1 Tsukuba, Ibaraki 305-0044, Japan and School of Chemical Engineering & Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia and JST-ERATO Yamauchi Materials Space-Tectonics Project, Kagami Memorial Research Institute for Science and Technology, Waseda University, 2-8-26 Nishi-Waseda, Shinjuku, Tokyo 169-0051, Japan
| | - Dmitri Golberg
- Centre for Materials Science and School of Chemistry and Physics Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia and Nanotubes Group, International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), 1-1 Tsukuba, Ibaraki 305-0044, Japan.
| | - Yusuf Valentino Kaneti
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia. and JST-ERATO Yamauchi Materials Space-Tectonics Project and International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), 1-1 Tsukuba, Ibaraki 305-0044, Japan
| | - Brian Yuliarto
- Department of Engineering Physics, Faculty of Industrial Technology, Institute of Technology Bandung, Ganesha 10, Bandung 40132, Indonesia. and Research Center for Nanosciences and Nanotechnology (RCNN), Institute of Technology Bandung, Bandung 40132, Indonesia
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Pinilla L, Benitez ID, González J, Torres G, Barbé F, de Gonzalo-Calvo D. Peripheral blood microRNAs and the COVID-19 patient: methodological considerations, technical challenges and practice points. RNA Biol 2021; 18:688-695. [PMID: 33530819 PMCID: PMC8078525 DOI: 10.1080/15476286.2021.1885188] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 01/30/2021] [Indexed: 02/06/2023] Open
Abstract
The COVID-19 emergency pandemic resulting from infection with SARS-CoV-2 represents a major threat to public health worldwide. There is an urgent clinical demand for easily accessible tools to address weaknesses and gaps in the management of COVID-19 patients. In this context, transcriptomic profiling of liquid biopsies, especially microRNAs (miRNAs), has recently emerged as a robust source of potential clinical indicators for medical decision-making. Nevertheless, the analysis of the circulating miRNA signature and its translation to clinical practice requires strict control of a wide array of methodological details. In this review, we indicate the main methodological aspects that should be addressed when evaluating the circulating miRNA profiles in COVID-19 patients, from preanalytical and analytical variables to the experimental design, impact of confounding, analysis of the data and interpretation of the findings, among others. Additionally, we provide practice points to ensure the rigour and reproducibility of miRNA-based biomarker investigations of this condition.Abbreviations: ACE: angiotensin-converting enzyme; ARDS: acute respiratory distress syndrome; COVID-19: coronavirus disease 2019; ERDN: early Detection Research Network; LMWH: low molecular weight heparin; miRNA: microRNA; ncRNA: noncoding RNA; SARS-CoV-2: severe acute respiratory syndrome coronavirus-2; SOP: standard operating procedure.
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Affiliation(s)
- Lucía Pinilla
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
| | - Ivan D. Benitez
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
| | - Jessica González
- CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
- Respiratory Department, University Hospital Arnau de Vilanova-Santa María, Translational Research in Respiratory Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - Gerard Torres
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Respiratory Department, University Hospital Arnau de Vilanova-Santa María, Translational Research in Respiratory Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - Ferran Barbé
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
- Respiratory Department, University Hospital Arnau de Vilanova-Santa María, Translational Research in Respiratory Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - David de Gonzalo-Calvo
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
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Shu T, Hu L, Shen Q, Jiang L, Zhang Q, Serpe MJ. Stimuli-responsive polymer-based systems for diagnostic applications. J Mater Chem B 2021; 8:7042-7061. [PMID: 32743631 DOI: 10.1039/d0tb00570c] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Stimuli-responsive polymers exhibit properties that make them ideal candidates for biosensing and molecular diagnostics. Through rational design of polymer composition combined with new polymer functionalization and synthetic strategies, polymers with myriad responsivities, e.g., responses to temperature, pH, biomolecules, CO2, light, and electricity can be achieved. When these polymers are specifically designed to respond to biomarkers, stimuli-responsive devices/probes, capable of recognizing and transducing analyte signals, can be used to diagnose and treat disease. In this review, we highlight recent state-of-the-art examples of stimuli-responsive polymer-based systems for biosensing and bioimaging.
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Affiliation(s)
- Tong Shu
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong 518060, China
| | - Liang Hu
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Ren'ai Road, Suzhou 215123, China
| | - Qiming Shen
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada.
| | - Li Jiang
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Ren'ai Road, Suzhou 215123, China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun 130022, China.
| | - Michael J Serpe
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada.
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Zhou C, Chu Z, Hou W, Wang X. Lanthanide-Doped Upconversion-Linked Immunosorbent Assay for the Sensitive Detection of Carbohydrate Antigen 19-9. Front Chem 2021; 8:592445. [PMID: 33718326 PMCID: PMC7954120 DOI: 10.3389/fchem.2020.592445] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/10/2020] [Indexed: 12/22/2022] Open
Abstract
Lanthanide-doped upconversion nanoparticles (UCNPs) have attracted considerable attention in detection of biological analytes and bioimaging owing to their superior optical properties, including high photochemical stability, sharp emission bandwidth, large anti-Stokes shifts, and low toxicity. In this work, we fabricated UCNP-linked immunosorbent assay (ULISA) for the sensitive detection of carbohydrate antigen 19-9 (CA19-9). The design is based on amino-functionalized SiO2-coated Gd-doped NaYF4:Yb3+,Er3+ upconversion nanoparticles (UCNPs@SiO2-NH2) as a direct background-free luminescent reporter; a secondary anti-IgG antibody (Ab2) was conjugated to the surface of UCNPs@SiO2-NH2 (UCNP-Ab2), and UCNP-Ab2 was used for specific targeting of CA19-9. The UCNPs were well characterized by TEM, SEM, XRD, FT-IR, and UV-vis. The detection process was similar to enzyme-linked immunosorbent assay (ELISA). UCNPs were used as signal transducer to replace the color compounds for an enzyme-mediated signal amplification step. An anti-CA19-9 primary antibody (Ab1) was fixed for capturing the CA19-9, and the fluorescence signal was obtained from the specific immunoreaction between UCNP-Ab2 and CA19-9. Under optimum conditions, this ULISA shows sensitive detection of CA19-9 with a dynamic range of 5-2,000 U/ml. The ULISA system shows higher detection sensitivity and wider detection range compared with the traditional ELISA for CA19-9 detection. This strategy using UCNPs as signal transducer may pave a new avenue for the exploration of rare doped UCNPs in ELISA assay for clinical applications in the future.
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Affiliation(s)
- Chaohui Zhou
- The Education Ministry Key Laboratory of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, School of Chemistry and Materials Science, Shanghai Normal University, Shanghai, China
| | - Zhongyun Chu
- The Education Ministry Key Laboratory of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, School of Chemistry and Materials Science, Shanghai Normal University, Shanghai, China
| | - Wenyue Hou
- School of Intellectual Property, Xihua University, Chengdu, China
| | - Xiuying Wang
- The Education Ministry Key Laboratory of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, School of Chemistry and Materials Science, Shanghai Normal University, Shanghai, China
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Peng C, Wang J, Gao W, Huang L, Liu Y, Li X, Li Z, Yu X. Meta-analysis of the Diagnostic Performance of Circulating MicroRNAs for Pancreatic Cancer. Int J Med Sci 2021; 18:660-671. [PMID: 33437201 PMCID: PMC7797557 DOI: 10.7150/ijms.52706] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 11/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Numerous studies have suggested that differentially expressed miRNAs may be promising diagnostic markers for pancreatic cancer (PC), but the results are inconsistent. We aimed to summarize the diagnostic accuracy of circulating miRNAs, carbohydrate antigen 19-9 (CA19-9), and the combination of miRNAs and CA19-9. Material and Methods: A literature search of online databases including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI) and WanFang was conducted. Relative data were extracted from eligible included studies, and a meta-analysis was performed. Results: A total of 46 studies involving 4,326 PC patients and 4,277 non-PC controls were included. The pooled sensitivity (SEN), specificity (SPE) and AUC of the circulating miRNAs for differentiating PC patients from non-PC controls were 0.79 (0.77-0.81), 0.77 (0.75-0.79), and 0.85 (0.81-0.87), respectively. The combination of miRNAs and CA19-9 greatly improved the SEN, SPE and AUC to 0.84 (0.80-0.87), 0.91 (0.89-0.93) and 0.94 (0.92-0.96), respectively. Moreover, circulating miRNAs also yielded an acceptable diagnostic accuracy for early-stage PC with a SEN of 0.79 (0.76-0.82), a SPE of 0.74 (0.68-0.79) and an AUC of 0.81 (0.77-0.84). Conclusion: Circulating miRNAs exhibited satisfactory diagnostic performance for PC and even early-stage PC. The combination of circulating miRNAs and CA19-9 can further improve the diagnostic accuracy, providing a novel strategy for PC diagnosis.
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Affiliation(s)
- Cheng Peng
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Jiale Wang
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Wenzhe Gao
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Lihua Huang
- Center for Medical Experiments, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Yunfei Liu
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Xia Li
- Department of Endocrinology, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Zhiqiang Li
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Xiao Yu
- Department of Hepatopancreatobiliary Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
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Jugniot N, Bam R, Meuillet EJ, Unger EC, Paulmurugan R. Current status of targeted microbubbles in diagnostic molecular imaging of pancreatic cancer. Bioeng Transl Med 2021; 6:e10183. [PMID: 33532585 PMCID: PMC7823123 DOI: 10.1002/btm2.10183] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/19/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is often associated with a poor prognosis due to silent onset, resistance to therapies, and rapid spreading. Most patients are ineligible for curable surgery as they present with advanced disease at the time of diagnosis. Present diagnostic methods relying on anatomical changes have various limitations including difficulty to discriminate between benign and malignant conditions, invasiveness, the ambiguity of imaging results, or the inability to detect molecular biomarkers of PDAC initiation and progression. Therefore, new imaging technologies with high sensitivity and specificity are critically needed for accurately detecting PDAC and noninvasively characterizing molecular features driving its pathogenesis. Contrast enhanced targeted ultrasound (CETUS) is an upcoming molecular imaging modality that specifically addresses these issues. Unlike anatomical imaging modalities such as CT and MRI, molecular imaging using CETUS is promising for early and accurate detection of PDAC. The use of molecularly targeted microbubbles that bind to neovascular targets can enhance the ultrasound signal specifically from malignant PDAC tissues. This review discusses the current state of diagnostic imaging modalities for pancreatic cancer and places a special focus on ultrasound targeted-microbubble technology together with its clinical translatability for PDAC detection.
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Affiliation(s)
- Natacha Jugniot
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
| | - Rakesh Bam
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
| | | | | | - Ramasamy Paulmurugan
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
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Rho D, Kim S. Demonstration of a Label-Free and Low-Cost Optical Cavity-Based Biosensor Using Streptavidin and C-Reactive Protein. BIOSENSORS-BASEL 2020; 11:bios11010004. [PMID: 33374119 PMCID: PMC7824430 DOI: 10.3390/bios11010004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 12/20/2020] [Accepted: 12/22/2020] [Indexed: 01/18/2023]
Abstract
An optical cavity-based biosensor (OCB) has been developed for point-of-care (POC) applications. This label-free biosensor employs low-cost components and simple fabrication processes to lower the overall cost while achieving high sensitivity using a differential detection method. To experimentally demonstrate its limit of detection (LOD), we conducted biosensing experiments with streptavidin and C-reactive protein (CRP). The optical cavity structure was optimized further for better sensitivity and easier fluid control. We utilized the polymer swelling property to fine-tune the optical cavity width, which significantly improved the success rate to produce measurable samples. Four different concentrations of streptavidin were tested in triplicate, and the LOD of the OCB was determined to be 1.35 nM. The OCB also successfully detected three different concentrations of human CRP using biotinylated CRP antibody. The LOD for CRP detection was 377 pM. All measurements were done using a small sample volume of 15 µL within 30 min. By reducing the sensing area, improving the functionalization and passivation processes, and increasing the sample volume, the LOD of the OCB are estimated to be reduced further to the femto-molar range. Overall, the demonstrated capability of the OCB in the present work shows great potential to be used as a promising POC biosensor.
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Abstract
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis. Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved impressive advances. However, novel advanced ML methods, especially deep learning, which is famous for image analysis, facial recognition, and speech recognition, has remained relatively elusive to the biosensor community. Herein, how ML can be beneficial to biosensors is systematically discussed. The advantages and drawbacks of most popular ML algorithms are summarized on the basis of sensing data analysis. Specially, deep learning methods such as convolutional neural network (CNN) and recurrent neural network (RNN) are emphasized. Diverse ML-assisted electrochemical biosensors, wearable electronics, SERS and other spectra-based biosensors, fluorescence biosensors and colorimetric biosensors are comprehensively discussed. Furthermore, biosensor networks and multibiosensor data fusion are introduced. This review will nicely bridge ML with biosensors, and greatly expand chemometrics for detection, analysis, and diagnosis.
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Affiliation(s)
- Feiyun Cui
- Department of Chemical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States
| | - Yun Yue
- Department of Electrical & Computer Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States
| | - Yi Zhang
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Ziming Zhang
- Department of Electrical & Computer Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States
| | - H. Susan Zhou
- Department of Chemical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States
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Çağlayan Z, Demircan Yalçın Y, Külah H. A Prominent Cell Manipulation Technique in BioMEMS: Dielectrophoresis. MICROMACHINES 2020; 11:E990. [PMID: 33153069 PMCID: PMC7693018 DOI: 10.3390/mi11110990] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/22/2020] [Accepted: 10/28/2020] [Indexed: 12/17/2022]
Abstract
BioMEMS, the biological and biomedical applications of micro-electro-mechanical systems (MEMS), has attracted considerable attention in recent years and has found widespread applications in disease detection, advanced diagnosis, therapy, drug delivery, implantable devices, and tissue engineering. One of the most essential and leading goals of the BioMEMS and biosensor technologies is to develop point-of-care (POC) testing systems to perform rapid prognostic or diagnostic tests at a patient site with high accuracy. Manipulation of particles in the analyte of interest is a vital task for POC and biosensor platforms. Dielectrophoresis (DEP), the induced movement of particles in a non-uniform electrical field due to polarization effects, is an accurate, fast, low-cost, and marker-free manipulation technique. It has been indicated as a promising method to characterize, isolate, transport, and trap various particles. The aim of this review is to provide fundamental theory and principles of DEP technique, to explain its importance for the BioMEMS and biosensor fields with detailed references to readers, and to identify and exemplify the application areas in biosensors and POC devices. Finally, the challenges faced in DEP-based systems and the future prospects are discussed.
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Affiliation(s)
- Zeynep Çağlayan
- Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06800, Turkey; (Z.Ç.); (Y.D.Y.)
- METU MEMS Research and Application Center, Ankara 06800, Turkey
| | - Yağmur Demircan Yalçın
- Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06800, Turkey; (Z.Ç.); (Y.D.Y.)
- Mikro Biyosistemler Electronics Inc., Ankara 06530, Turkey
| | - Haluk Külah
- Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06800, Turkey; (Z.Ç.); (Y.D.Y.)
- METU MEMS Research and Application Center, Ankara 06800, Turkey
- Mikro Biyosistemler Electronics Inc., Ankara 06530, Turkey
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Huang CH, Huang TT, Chiang CH, Huang WT, Lin YT. A chemiresistive biosensor based on a layered graphene oxide/graphene composite for the sensitive and selective detection of circulating miRNA-21. Biosens Bioelectron 2020; 164:112320. [DOI: 10.1016/j.bios.2020.112320] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 05/14/2020] [Accepted: 05/20/2020] [Indexed: 12/14/2022]
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Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3. Talanta 2020; 222:121444. [PMID: 33167198 PMCID: PMC7413169 DOI: 10.1016/j.talanta.2020.121444] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 12/18/2022]
Abstract
The development of simple detection methods aimed at widespread screening and testing is crucial for many infections and diseases, including prostate cancer where early diagnosis increases the chances of cure considerably. In this paper, we report on genosensors with different detection principles for a prostate cancer specific DNA sequence (PCA3). The genosensors were made with carbon printed electrodes or quartz coated with layer-by-layer (LbL) films containing gold nanoparticles and chondroitin sulfate and a layer of a complementary DNA sequence (PCA3 probe). The highest sensitivity was reached with electrochemical impedance spectroscopy with the detection limit of 83 pM in solutions of PCA3, while the limits of detection were 2000 pM and 900 pM for cyclic voltammetry and UV–vis spectroscopy, respectively. That detection could be performed with an optical method is encouraging, as one may envisage extending it to colorimetric tests. Since the morphology of sensing units is known to be affected in detection experiments, we applied machine learning algorithms to classify scanning electron microscopy images of the genosensors and managed to distinguish those exposed to PCA3-containing solutions from control measurements with an accuracy of 99.9%. The performance in distinguishing each individual PCA3 concentration in a multiclass task was lower, with an accuracy of 88.3%, which means that further developments in image analysis are required for this innovative approach. Low-cost biosensors fabricated with gold nanoparticles and chondroitin sulfate used for detecting PCA3 biomarker. PCA3 detection from machine learning with accuracy of 99.9%. The highest sensitivity was reached with electrochemical impedance spectroscopy with the detection limit of 83 pM.
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Li H, Yuan L, Long Y, Fang H, Li M, Liu Q, Xia X, Qin C, Zhang Y, Lan X, Gai Y. Synthesis and Preclinical Evaluation of a 68Ga-Radiolabeled Peptide Targeting Very Late Antigen-3 for PET Imaging of Pancreatic Cancer. Mol Pharm 2020; 17:3000-3008. [PMID: 32544337 DOI: 10.1021/acs.molpharmaceut.0c00416] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Pancreatic cancer is highly malignant and has a five-year survival rate of 5% due to an early lymph node, nerve, and vascular metastasis. Integrin α3β1 (also called very late antigen-3, VLA-3) is overexpressed in many tumors and plays a vital role in tumor formation, recurrence, and metastasis. In this study, we developed a 68Ga-radiolabeled peptide tracer targeting the α3 unit of VLA-3 and evaluated its potential application in positron emission computed tomography (PET) imaging of pancreatic cancer. NOTA-CK11 was prepared by solid-phase synthesis and successfully radiolabeled with 68Ga with greater than 99% radiochemical purity and a specific activity of 37 ± 5 MBq/nmol (n = 5). The expression level of integrin α3 in three human pancreatic cancer cells was evaluated with the order of SW1990, BXPC-3, and PANC-1 from high to low, while the expression level of integrin β1 was relatively close. When SW1990 cells with the highest expression level of VLA-3 were stained with FITC-CK11, strong fluorescence was observed by flow cytometry and under a laser confocal microscope. However, no significant fluorescence was observed in the blocking group when treated with excessive CK11. 68Ga-NOTA-CK11 showed significant radioactivity accumulation in SW1990 cells and was blocked by CK11 successfully. Subsequent small-animal PET imaging and biodistribution studies in mice bearing SW1990 xenografts confirmed its high tumor uptake with a good tumor-to-blood ratio and tumor-to-muscle ratio (2.45 ± 0.31 and 3.65 ± 0.33, respectively) at 1 h post injection of the probe. In summary, we successfully developed a peptide-based imaging agent, 68Ga-NOTA-CK11, that showed a strong binding affinity with VLA-3 and good target specificity for SW1990 cells and xenografted pancreatic tumor, rending it a promising radiotracer for PET imaging of VLA-3 expression in pancreatic cancer.
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Affiliation(s)
- Huiling Li
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Lujie Yuan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
- Department of Nuclear Medicine, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China
| | - Yu Long
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Hanyi Fang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Mengting Li
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Qingyao Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Xiaotian Xia
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Chunxia Qin
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yongxue Zhang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yongkang Gai
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
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Goodwin MJ, Besselink GAJ, Falke F, Everhardt AS, Cornelissen JJLM, Huskens J. Highly Sensitive Protein Detection by Asymmetric Mach–Zehnder Interferometry for Biosensing Applications. ACS APPLIED BIO MATERIALS 2020; 3:4566-4572. [DOI: 10.1021/acsabm.0c00491] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Melissa J. Goodwin
- MESA+ Institute for Nanotechnology, Faculty of Science and Technology, University of Twente, 7522 NH Enschede, The Netherlands
| | | | - Floris Falke
- Lionix International, 7500 AL Enschede, The Netherlands
| | | | - Jeroen J. L. M. Cornelissen
- MESA+ Institute for Nanotechnology, Faculty of Science and Technology, University of Twente, 7522 NH Enschede, The Netherlands
| | - Jurriaan Huskens
- MESA+ Institute for Nanotechnology, Faculty of Science and Technology, University of Twente, 7522 NH Enschede, The Netherlands
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38
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Wu L, Zhou WB, Zhou J, Wei Y, Wang HM, Liu XD, Chen XC, Wang W, Ye L, Yao LC, Chen QH, Tang ZG. Circulating exosomal microRNAs as novel potential detection biomarkers in pancreatic cancer. Oncol Lett 2020; 20:1432-1440. [PMID: 32724386 PMCID: PMC7377032 DOI: 10.3892/ol.2020.11691] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 04/28/2020] [Indexed: 02/06/2023] Open
Abstract
Circulating exosomal microRNAs (ex-miRNAs) are reflective of the characteristics of the tumor and are valuable biomarkers in different types of tumor. In addition, miRNAs serve important roles in tumor progression and metastasis. The present study aimed to investigate the circulating ex-miRNA-21 and miRNA-210 as novel biomarkers for patients with pancreatic cancer (PC). For this purpose, serum ex-miRNAs were extracted from the serum of patients with PC (n=30) and chronic pancreatitis (CP) (n=10) using an RNA isolation kit. For exosome identification in serum, transmission electron micrographs were used to determine crystalline structure, western blotting was used to identify exosomal markers, and NanoSight was used for nanoparticle characterization. The relative expression levels of ex-miRNAs were quantified using quantitative PCR and compared between patients with PC and CP. The expression levels of both ex-miRNA-21 and miRNA-210 were significantly higher in patients with PC compared with patients with CP (both P<0.001). However, no significant difference in the relative serum levels of free miR-21 and miR-210 was observed between the 2 groups of patients (both P>0.05). ex-miRNA-21 and miRNA-210 were associated with tumor stage, as well as other factors. The diagnostic potential of ex-miRNA-21 and miRNA-210 levels was 83 and 85%, respectively. In addition, when ex-miRNA and serum carbohydrate antigen 19-9 expression levels were combined, the accuracy increased to 90%. The present study identified that serum ex-miRNAs, miRNA-21 and miRNA-210 may be of value as potential biomarkers and therapeutic targets for the diagnosis and treatment of PC.
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Affiliation(s)
- Lun Wu
- Department of Pancreatic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Wen-Bo Zhou
- Department of Hepatobiliary Surgery, Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei 442001, P.R. China
| | - Jiao Zhou
- Department of Urology, Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei 442001, P.R. China
| | - Ying Wei
- Clinical Laboratory, Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei 442001, P.R. China
| | - Hong-Mei Wang
- Liver Surgery Institute of The Experiment Center of Medicine, Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei 442001, P.R. China
| | - Xian-De Liu
- Department of General Surgery, People's Hospital of Zhu Shan, Shiyan, Hubei 442001, P.R. China
| | - Xiao-Chun Chen
- Department of General Surgery, People's Hospital of Zhu Shan, Shiyan, Hubei 442001, P.R. China
| | - Wei Wang
- Department of Pancreatic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Lin Ye
- Department of Pancreatic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Li Chao Yao
- Department of Pancreatic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Qin-Hua Chen
- Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Experiment Center of Medicine, Hubei University of Medicine, Shiyan, Hubei 442001, P.R. China
| | - Zhi-Gang Tang
- Department of Pancreatic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
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Guedes G, Wang S, Santos HA, Sousa FL. Polyoxometalate Composites in Cancer Therapy and Diagnostics. Eur J Inorg Chem 2020. [DOI: 10.1002/ejic.202000066] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Gabriela Guedes
- Chemistry Department and CICECO-Aveiro Institute of Materials; University of Aveiro; Campus Universitário de Santiago 3810-193 Aveiro Portugal
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy; University of Helsinki; Viikinkaari 5 E (P.O.Box 56) 00014 Helsinki Finland
| | - Shiqi Wang
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy; University of Helsinki; Viikinkaari 5 E (P.O.Box 56) 00014 Helsinki Finland
| | - Hélder A. Santos
- Helsinki Institute of Life Science; University of Helsinki; Viikinkaari 5 E (P.O.Box 56) 00014 Helsinki Finland
| | - Filipa L. Sousa
- Chemistry Department and CICECO-Aveiro Institute of Materials; University of Aveiro; Campus Universitário de Santiago 3810-193 Aveiro Portugal
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Liu X, Yue T, Qi K, Qiu Y, Guo X. Porous graphene based electrochemical immunosensor using Cu 3(BTC) 2 metal-organic framework as nonenzymatic label. Talanta 2020; 217:121042. [PMID: 32498912 DOI: 10.1016/j.talanta.2020.121042] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 04/09/2020] [Accepted: 04/13/2020] [Indexed: 02/06/2023]
Abstract
An electrochemical immunosensor for highly sensitive detection of cancer biomarkers has been developed based on the combination of a sensing platform of polydopamine modified porous graphene and a nonenzymatic label of metal-organic framework (MOF) conjugated secondary antibody. This approach achieves a wide range of linear response from 0.1 to 10 ng/mL, low detection limit of 0.025 ng/mL (at a signal to noise ratio of 3), good reproducibility and selectivity for the detection of prostate specific antigen (PSA) as a model analyte. The high performance of the immunosensor is attributed to the high surface area from porous graphene and the strong adhesion of polydopamine, allowing a high load of the primary antibody of PSA, as well as the highly electrocatalytic activity of the Cu3(BTC)2 (BTC = benzene-1,3,5-tricarboxylic acid) MOF toward H2O2 to provide greatly amplified sensitivity. In this respect, the MOF-based nonenzymatic label shows promising application for the point-of-care detection of different cancer biomarkers in clinical diagnostics.
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Affiliation(s)
- Xiaobang Liu
- Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Wuhan, 430074, PR China
| | - Ting Yue
- Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Wuhan, 430074, PR China
| | - Kai Qi
- Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Wuhan, 430074, PR China.
| | - Yubing Qiu
- Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Wuhan, 430074, PR China
| | - Xingpeng Guo
- School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
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Belmonte T, Mangas A, Calderon-Dominguez M, Quezada-Feijoo M, Ramos M, Campuzano O, Gomez S, Peña ML, Cubillos-Arango AM, Dominguez F, Llorente-Cortés V, de Gonzalo-Calvo D, Toro R. Peripheral microRNA panels to guide the diagnosis of familial cardiomyopathy. Transl Res 2020; 218:1-15. [PMID: 32032554 DOI: 10.1016/j.trsl.2020.01.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 12/23/2022]
Abstract
Etiology-based diagnosis of dilated cardiomyopathy (DCM) is challenging. We evaluated whether peripheral microRNAs (miRNAs) could be used to characterize the DCM etiology. We investigated the miRNA plasma profiles of 254 subjects that comprised 5 groups: Healthy subjects (n = 70), idiopathic DCM patients (n = 55), ischemic DCM patients (n = 60) and 2 groups of patients with pathogenic variants responsible for familial DCM in the LMNA (LMNAMUT, n = 37) and BAG3 (BAG3MUT, n = 32) genes. Diagnostic performance was assessed using receiver operating characteristic curves. In a screening study (n = 30), 179 miRNAs robustly detected in plasma samples were profiled in idiopathic DCM and carriers of pathogenic variants. After filtering, 26 miRNA candidates were selected for subsequent quantification in the whole study population. In the validation study, a 6-miRNA panel identified familial DCM with an AUC (95% confidence interval [CI]) of 87.8 (82.0-93.6). The 6-miRNA panel also distinguished between specific DCM etiologies with AUCs ranging from 85.9 to 89.9. Only 1 to 10 of the subjects in the first and second tertiles of the 6-miRNA panel were patients with familial DCM. Additionally, a 5-miRNA panel showed an AUC (95% CI) of 87.5 (80.4-94.6) for the identification of carriers with pathogenic variants who were phenotypically negative for DCM. The 5-miRNA panel discriminated between carriers and healthy controls with AUCs ranging from 83.2 to 90.8. Again, only 1 to 10 of the subjects in the lowest tertiles of the 5-miRNA panel were carriers of pathogenic variants. In conclusion, miRNA signatures could be used to rule out patients with pathogenic variants responsible for DCM.
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Affiliation(s)
- Thalía Belmonte
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Spain
| | - Alipio Mangas
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Spain; Internal Medicine Department, Puerta del Mar Universitary Hospital, Cádiz, Spain; Medicine Department, School of Medicine, University of Cádiz, Cádiz, Spain
| | - Maria Calderon-Dominguez
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Spain
| | - Maribel Quezada-Feijoo
- Cardiology Department, Cruz Roja Hospital, Madrid, Spain; Cardiology Department, Alfonso X University, Madrid, Spain
| | - Monica Ramos
- Cardiology Department, Cruz Roja Hospital, Madrid, Spain; Cardiology Department, Alfonso X University, Madrid, Spain
| | - Oscar Campuzano
- Biochemistry and Molecular Genetics Department, Hospital Clinic, University of Barcelona-IDIBAPS, Barcelona, Spain; Medical Science Department, School of Medicine, University of Girona, Spain; Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain; CIBERCV, Institute of Health Carlos III, Madrid, Spain
| | - Silvia Gomez
- Cardiology Department, Virgen del Rocio Universitary Hospital, Sevilla, Spain
| | - Maria Luisa Peña
- Cardiology Department, Virgen del Rocio Universitary Hospital, Sevilla, Spain
| | | | - Fernando Dominguez
- CIBERCV, Institute of Health Carlos III, Madrid, Spain; Heart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Puerta de Hierro Universitary Hospital, Madrid, Spain
| | - Vicenta Llorente-Cortés
- CIBERCV, Institute of Health Carlos III, Madrid, Spain; Institute of Biomedical Research of Barcelona (IIBB) - Spanish National Research Council (CSIC), Barcelona, Spain; Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - David de Gonzalo-Calvo
- CIBERCV, Institute of Health Carlos III, Madrid, Spain; Institute of Biomedical Research of Barcelona (IIBB) - Spanish National Research Council (CSIC), Barcelona, Spain; Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
| | - Rocio Toro
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Spain; Medicine Department, School of Medicine, University of Cádiz, Cádiz, Spain.
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Pirzada M, Altintas Z. Recent Progress in Optical Sensors for Biomedical Diagnostics. MICROMACHINES 2020; 11:E356. [PMID: 32235546 PMCID: PMC7231100 DOI: 10.3390/mi11040356] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 03/25/2020] [Accepted: 03/28/2020] [Indexed: 12/12/2022]
Abstract
In recent years, several types of optical sensors have been probed for their aptitude in healthcare biosensing, making their applications in biomedical diagnostics a rapidly evolving subject. Optical sensors show versatility amongst different receptor types and even permit the integration of different detection mechanisms. Such conjugated sensing platforms facilitate the exploitation of their neoteric synergistic characteristics for sensor fabrication. This paper covers nearly 250 research articles since 2016 representing the emerging interest in rapid, reproducible and ultrasensitive assays in clinical analysis. Therefore, we present an elaborate review of biomedical diagnostics with the help of optical sensors working on varied principles such as surface plasmon resonance, localised surface plasmon resonance, evanescent wave fluorescence, bioluminescence and several others. These sensors are capable of investigating toxins, proteins, pathogens, disease biomarkers and whole cells in varied sensing media ranging from water to buffer to more complex environments such as serum, blood or urine. Hence, the recent trends discussed in this review hold enormous potential for the widespread use of optical sensors in early-stage disease prediction and point-of-care testing devices.
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Affiliation(s)
| | - Zeynep Altintas
- Institute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany;
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