Nanotechnology-Based Biosensors: Applications in Cancer and Neurodegeneration

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 4679

Special Issue Editor

Special Issue Information

Dear Colleagues,

The interest in personalised medicine is assuming a fundamental role in clinical environments. The possibility to define an ad-hoc treatment based on a personalised diagnosis for each single patient has demonstrated to improve remarkably the clinical outcome for patients, compared to the one-fits-all approach that is based on large population averages. Two fields where precision medicine is going to drastically improve the ability in early detection and accuracy and efficiency of therapies are certainly cancer and neurodegeneration. Both diseases are strongly rooted in society and represent a heavy burden for millions of people worldwide every year. While the fight to cancer is well-known since decades and astonishing results have been already obtained in terms of patients’ survival rate and lifestyle, more recently studies and clinical trials on neurodegenerative diseases (e.g. Alzheimer and Parkinson’s disease) are increasing remarkably, leading towards new therapies, drugs and vaccines to eradicate or mitigate the effects of such diseases and their impact on patients’ life. Nanotechnologies are demonstrating to represent a perfect tool in this field, because they enable the access to the molecular and genetic information customised for the individual patient, in order to predict or promptly detect the presence of the disease since early stages or its progression before leading, for instance, to metastasis in cancer or severe dementia in Alzheimer’s disease. The main advantage offered by biosensors based on nanotechnologies is the high values of sensitivity and resolution. Moreover, the possibility to control and use a large number of sensors for the detection of multiple biological targets in parallel, ability maximised in particular with optically and electrically-based detection schemes with hundreds of sensors integrated on the same chip, enhances the multiplexing capability with a strong impact on the diagnostic accuracy. This Special Issue will focus on the latest advances in biosensors based on nanotechnologies used in studies for cancer and neurodegeneration aiming at defining the roadmap of the next generation of biosensors to apply either in clinical applications and home-tests. Both review articles and novel research papers are solicited, covering the following areas:

  • Novel biosensors to optimise the sensitivity, accuracy and precision of biomedical analysis and diagnostics, including different sensing modalities, e.g. optical, electric, microfluidic, magnetic, acoustic.
  • Biosensors used for fundamental research in cancer and neurodegeneration studies, aiming at defining new therapies, drugs and vaccines in this field.
  • Biosensors and point-of-care devices applied in clinical trials to analyse the response of patients to different drugs and treatments, aiming at improving the promptness and efficiency.
  • New strategies to integrate biosensors in portable instruments to facilitate their use by non-expert users with cost-efficient solutions.
  • The combination of different sensing modalities accessing a multiparameter and multiplexed sensing, in order to improve the diagnostic accuracy and provide a detail insight in the disease stage and progression.

Dr. Donato Conteduca
Guest Editor

Manuscript Submission Information

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Keywords

  • precision medicine
  • biosensors
  • nanotechnologies
  • cancer
  • neurodegenerative diseases
  • lab-on-a-chip systems
  • point-of-care photonic devices
  • integrated biosensors

Published Papers (2 papers)

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Research

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10 pages, 2174 KiB  
Communication
Peptide Selection of MMP-1 for Electrochemical Sensing with Epitope-Imprinted Poly(TPARA-co-EDOT)s
by Mei-Hwa Lee, Cheng-Chih Lin, Piyush Sindhu Sharma, James L. Thomas, Chu-Yun Lin, Zofia Iskierko, Paweł Borowicz, Chien-Yu Lin, Wlodzimierz Kutner, Chien-Hsin Yang and Hung-Yin Lin
Biosensors 2022, 12(11), 1018; https://doi.org/10.3390/bios12111018 - 15 Nov 2022
Cited by 3 | Viewed by 1556
Abstract
Instead of molecularly imprinting a whole protein molecule, imprinting protein epitopes is gaining popularity due to cost and solubility issues. Belonging to the matrix metalloproteinase protein family, MMP-1 is an interstitial collagenase that degrades collagen and may be involved in cell migration, cell [...] Read more.
Instead of molecularly imprinting a whole protein molecule, imprinting protein epitopes is gaining popularity due to cost and solubility issues. Belonging to the matrix metalloproteinase protein family, MMP-1 is an interstitial collagenase that degrades collagen and may be involved in cell migration, cell proliferation, the pro-inflammatory effect, and cancer progression. Hence, it can serve as a disease protein biomarker and thus be useful in early diagnosis. Herein, epitopes of MMP-1 were identified by screening its crystal structure. To identify possible epitopes for imprinting, MMP-1 was cleaved in silico with trypsin, pepsin at pH = 1.3, and pepsin at pH > 2.0 using Peptide Cutter, generating peptide fragments containing 8 to 12 amino acids. Five criteria were applied to select the peptides most suitable as potential epitopes for MMP-1. The triphenylamine rhodanine-3-acetic acid (TPARA) functional monomer was synthesized to form a stable pre-polymerization complex with a selected template epitope. The complexed functional monomer was then copolymerized with 3,4-ethoxylenedioxythiophene (EDOT) using potentiodynamic electropolymerization onto indium–tin–oxide (ITO) electrodes. The composition of the molecularly imprinted poly(TPARA-co-EDOT) (MIP) was optimized by maximizing the film’s electrical conductivity. Cyclic voltammetry was used to determine MMP-1 concentration in the presence of the Fe(CN)63−/Fe(CN)64− redox probe actuating the “gate effect.” A calibration curve was constructed and used to determine the usable concentration range and the limit of detection as ca. 0.001 to 10.0 pg/mL and 0.2 fg/mL MMP-1, respectively. Finally, the MMP-1 concentration in the A549 human lung (carcinoma) culture medium was measured, and this determination accuracy was confirmed using an ELISA assay. Full article
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Review

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18 pages, 5742 KiB  
Review
Self-Assembly of Small Organic Molecules into Luminophores for Cancer Theranostic Applications
by Jing Wang, Xueliang Wang, Kai Yang, Sijun Hu and Wanhe Wang
Biosensors 2022, 12(9), 683; https://doi.org/10.3390/bios12090683 - 25 Aug 2022
Cited by 4 | Viewed by 2370
Abstract
Self-assembled biomaterials have been widely explored for real-time fluorescence imaging, imaging-guided surgery, and targeted therapy for tumors, etc. In particular, small molecule-based self-assembly has been established as a reliable strategy for cancer theranostics due to the merits of small-sized molecules, multiple functions, and [...] Read more.
Self-assembled biomaterials have been widely explored for real-time fluorescence imaging, imaging-guided surgery, and targeted therapy for tumors, etc. In particular, small molecule-based self-assembly has been established as a reliable strategy for cancer theranostics due to the merits of small-sized molecules, multiple functions, and ease of synthesis and modification. In this review, we first briefly introduce the supramolecular chemistry of small organic molecules in cancer theranostics. Then, we summarize and discuss advanced small molecule-based self-assembly for cancer theranostics based on three types, including peptides, amphiphilic molecules, and aggregation-induced emission luminogens. Finally, we conclude with a perspective on future developments of small molecule-based self-assembled biomaterials integrating diagnosis and therapy for biomedical applications. These applications highlight the opportunities arising from the rational design of small organic molecules with self-assembly properties for precision medicine. Full article
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