A Review: Biomechanical Aspects of the Fallopian Tube Relevant to its Function in Fertility.
Hasan SerajMohammad Ali NazariAli Asghar AtaiSaeid AmanpourMojtaba AzadiPublished in: Reproductive sciences (Thousand Oaks, Calif.) (2024)
The fallopian tube (FT) plays a crucial role in the reproductive process by providing an ideal biomechanical and biochemical environment for fertilization and early embryo development. Despite its importance, the biomechanical functions of the FT that originate from its morphological aspects, and ultrastructural aspects, as well as the mechanical properties of FT, have not been studied nor used sufficiently, which limits the understanding of fertilization, mechanotrasduction, and mechanobiology during embryo development, as well as the replication of the FT in laboratory settings for infertility treatments. This paper reviews and revives valuable information on human FT reported in medical literature in the past five decades relevant to the biomechanical aspects of FT. In this review, we summarized the current state of knowledge concerning the morphological, ultrastructural aspects, and mechanical properties of the human FT. We also investigate the potential arising from a thorough consideration of the biomechanical functions and exploring often neglected mechanical aspects. Our investigation encompasses both macroscopic measurements (such as length, diameter, and thickness) and microscopic measurements (including the height of epithelial cells, the percentage of ciliated cells, cilia structure, and ciliary beat frequency). Our primary focus has been on healthy women of reproductive age. We have examined various measurement techniques, encompassing conventional metrology, 2D histological data as well as new spatial measurement techniques such as micro-CT.
Keyphrases
- endothelial cells
- finite element analysis
- healthcare
- finite element
- polycystic ovary syndrome
- computed tomography
- systematic review
- induced apoptosis
- induced pluripotent stem cells
- adipose tissue
- risk assessment
- insulin resistance
- machine learning
- randomized controlled trial
- oxidative stress
- magnetic resonance imaging
- young adults
- pluripotent stem cells
- type diabetes
- big data
- electronic health record
- artificial intelligence
- skeletal muscle
- blood pressure
- climate change
- deep learning
- pet ct