Microfluidic chip as a promising evaluation method in assisted reproduction: A systematic review.
Tong WuYangyang WuJinfeng YanJin-Jin ZhangShi-Xuan WangPublished in: Bioengineering & translational medicine (2023)
The aim of assisted reproductive technology (ART) is to select the high-quality sperm, oocytes, and embryos, and finally achieve a successful pregnancy. However, functional evaluation is hindered by intra- and inter-operator variability. Microfluidic chips emerge as the one of the most powerful tools to analyze biological samples for reduced size, precise control, and flexible extension. Herein, a systematic search was conducted in PubMed, Scopus, Web of Science, ScienceDirect, and IEEE Xplore databases until March 2023. We displayed and prospected all detection strategies based on microfluidics in the ART field. After full-text screening, 71 studies were identified as eligible for inclusion. The percentages of human and mouse studies equaled with 31.5%. The prominent country in terms of publication number was the USA ( n = 13). Polydimethylsiloxane ( n = 49) and soft lithography ( n = 28) were the most commonly used material and fabrication method, respectively. All articles were classified into three types: sperm ( n = 38), oocytes ( n = 20), and embryos ( n = 13). The assessment contents included motility, counting, mechanics, permeability, impedance, secretion, oxygen consumption, and metabolism. Collectively, the microfluidic chip technology facilitates more efficient, accurate, and objective evaluation in ART. It can even be combined with artificial intelligence to assist the daily activities of embryologists. More well-designed clinical studies and affordable integrated microfluidic chips are needed to validate the safety, efficacy, and reproducibility. Trial registration: The protocol was registered in the Open Science Frame REGISTRIES (identification: osf.io/6rv4a).
Keyphrases
- circulating tumor cells
- high throughput
- artificial intelligence
- single cell
- label free
- big data
- public health
- endothelial cells
- machine learning
- hiv infected
- deep learning
- randomized controlled trial
- antiretroviral therapy
- physical activity
- study protocol
- clinical trial
- staphylococcus aureus
- phase iii
- escherichia coli
- phase ii
- computed tomography
- preterm birth
- magnetic resonance
- candida albicans
- loop mediated isothermal amplification