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Chen Y, Wu Z, Sutlive J, Wu K, Mao L, Nie J, Zhao XZ, Guo F, Chen Z, Huang Q. Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells. J Nanobiotechnology 2022; 20:546. [PMID: 36585678 PMCID: PMC9805221 DOI: 10.1186/s12951-022-01749-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/15/2022] [Indexed: 12/31/2022] Open
Abstract
Noninvasive prenatal diagnosis (NIPD) aims to detect fetal-related genetic disorders before birth by detecting markers in the peripheral blood of pregnant women, holding the potential in reducing the risk of fetal birth defects. Fetal-nucleated red blood cells (fNRBCs) can be used as biomarkers for NIPD, given their remarkable nature of carrying the entire genetic information of the fetus. Here, we review recent advances in NIPD technologies based on the isolation and analysis of fNRBCs. Conventional cell separation methods rely primarily on physical properties and surface antigens of fNRBCs, such as density gradient centrifugation, fluorescence-activated cell sorting, and magnetic-activated cell sorting. Due to the limitations of sensitivity and purity in Conventional methods, separation techniques based on micro-/nanomaterials have been developed as novel methods for isolating and enriching fNRBCs. We also discuss emerging methods based on microfluidic chips and nanostructured substrates for static and dynamic isolation of fNRBCs. Additionally, we introduce the identification techniques of fNRBCs and address the potential clinical diagnostic values of fNRBCs. Finally, we highlight the challenges and the future directions of fNRBCs as treatment guidelines in NIPD.
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Affiliation(s)
- Yanyu Chen
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China ,grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Zhuhao Wu
- grid.411377.70000 0001 0790 959XDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405 USA
| | - Joseph Sutlive
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA
| | - Ke Wu
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Lu Mao
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China
| | - Jiabao Nie
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA ,grid.261112.70000 0001 2173 3359Department of Biological Sciences, Northeastern University, Boston, MA 02115 USA
| | - Xing-Zhong Zhao
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, United States.
| | - Zi Chen
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Qinqin Huang
- The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
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