Literature DB >> 31720618

Superparamagnetic nanoarchitectures for disease-specific biomarker detection.

Mostafa Kamal Masud1, Jongbeom Na, Muhammad Younus, Md Shahriar A Hossain, Yoshio Bando, Muhammad J A Shiddiky, Yusuke Yamauchi.   

Abstract

The detection of clinically relevant disease-specific biomolecules, including nucleic acids, circulating tumor cells, proteins, antibodies, and extracellular vesicles, has been indispensable to understand their functions in disease diagnosis and prognosis. Therefore, a biosensor for the robust, ultrasensitive, and selective detection of these low-abundant biomolecules in body fluids (blood, urine, and saliva) is emerging in current clinical research. In recent years, nanomaterials, especially superparamagnetic nanomaterials, have played essential roles in biosensing due to their intrinsic magnetic, electrochemical, and optical properties. However, engineered multicomponent magnetic nanoparticle-based current biosensors that offer the advantages of excellent stability in a complex biomatrix; easy and alterable biorecognition of ligands, antibodies, and receptor molecules; and unified point-of-care integration have yet to be achieved. This review introduces the recent advances in superparamagnetic nanostructures for electrochemical and optical biosensing for disease-specific biomarkers. This review emphasizes the synthesis, biofunctionalization, and intrinsic properties of nanomaterials essential for robust, ultrasensitive biosensing. With a particular emphasis on nanostructure-based electrochemical and optical detection of disease-specific biomarkers such as nucleic acids (DNA and RNA), proteins, autoantibodies, and cells, this review also chronicles the needs and challenges of nanoarchitecture-based detection. These summaries provide further insights for researchers to inspire their future work on the development of nanostructures for integrating into biosensing and devices for a broad field of applications in analytical sensing and in clinic.

Entities:  

Year:  2019        PMID: 31720618     DOI: 10.1039/c9cs00174c

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  17 in total

Review 1.  Biosensor-based assay of exosome biomarker for early diagnosis of cancer.

Authors:  Ying Deng; Zhaowei Sun; Lei Wang; Minghui Wang; Jie Yang; Genxi Li
Journal:  Front Med       Date:  2021-09-27       Impact factor: 4.592

Review 2.  Nanoparticles in the diagnosis and treatment of vascular aging and related diseases.

Authors:  Hui Xu; Shuang Li; You-Shuo Liu
Journal:  Signal Transduct Target Ther       Date:  2022-07-11

Review 3.  Nanoplatforms for Sepsis Management: Rapid Detection/Warning, Pathogen Elimination and Restoring Immune Homeostasis.

Authors:  Gan Luo; Jue Zhang; Yaqi Sun; Ya Wang; Hanbin Wang; Baoli Cheng; Qiang Shu; Xiangming Fang
Journal:  Nanomicro Lett       Date:  2021-03-08

4.  Sensitive and Label-free Detection of Bacteria in Osteomyelitis through Exo III-Assisted Cascade Signal Amplification.

Authors:  Yuanyuan Li; Fei Xu; Jinhua Zhang; Jinshan Huang; Di Shen; Yunmiao Ma; Xiufeng Wang; Yuan Bian; Qing Chen
Journal:  ACS Omega       Date:  2021-04-30

Review 5.  Lab-on-a-Chip Devices for Point-of-Care Medical Diagnostics.

Authors:  Sofia Arshavsky-Graham; Ester Segal
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

Review 6.  Magnetic Particles for CTC Enrichment.

Authors:  Peng Liu; Pascal Jonkheijm; Leon W M M Terstappen; Michiel Stevens
Journal:  Cancers (Basel)       Date:  2020-11-26       Impact factor: 6.639

Review 7.  Integrative biology of extracellular vesicles in diabetes mellitus and diabetic complications.

Authors:  Jing Liu; Yanyan Zhang; Yan Tian; Wei Huang; Nanwei Tong; Xianghui Fu
Journal:  Theranostics       Date:  2022-01-01       Impact factor: 11.556

Review 8.  Emerging roles of exosomal miRNAs in diabetes mellitus.

Authors:  Xiaoyun He; Gaoyan Kuang; Yongrong Wu; Chunlin Ou
Journal:  Clin Transl Med       Date:  2021-06

Review 9.  Exosomal miRNAs as biomarkers for diagnostic and prognostic in lung cancer.

Authors:  Jing Wu; Zuojun Shen
Journal:  Cancer Med       Date:  2020-08-10       Impact factor: 4.452

Review 10.  Exosome microRNAs in Metabolic Syndrome as Tools for the Early Monitoring of Diabetes and Possible Therapeutic Options.

Authors:  Erika Cione; Roberto Cannataro; Luca Gallelli; Giovambattista De Sarro; Maria Cristina Caroleo
Journal:  Pharmaceuticals (Basel)       Date:  2021-12-02
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