Simulating nature in sperm selection for assisted reproduction

Leung, Erica T. Y.; Lee, Cheuk‐Lun; Tian, Xinyi; Lam, Kevin K.W.; Li, Raymond; Ng, Ernest H.Y.; Yeung, William S.B.; Chiu, Philip C.N.

doi:10.1038/s41585-021-00530-9

Cited by 34 publications

(38 citation statements)

References 310 publications

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“…This study is the first to evaluate the possible effect of inactivated COVID-19 vaccines on human reproduction, using the IUI cycle as a model. This is an effective method to study the impact of one factor on implantation, on the one hand, the fertilization process of it is relatively natural compared to IVF-ET, on the other hand, the process of IUI bypass many of the variables that normally impact the ability to conceive like ovulation and sperm selection compared to natural conception process ( 30 ). When grouping the subjects, we played close attention to the relative time between vaccination and insemination and chose a more rigorous grouping method instead of just dividing people into vaccinated and unvaccinated groups.…”

Section: Discussionmentioning

confidence: 99%

Effect of inactivated COVID-19 vaccination on intrauterine insemination cycle success: A retrospective cohort study

Lin

et al. 2022

Front. Public Health

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BackgroundVaccine hesitancy was found in couples seeking artificial reproductive technology (ART) services. As the main vaccine used in China, investigations into the influence of inactivated coronavirus disease 2019 (COVID-19) vaccines on human fertility is needed.MethodsThis retrospective cohort study included data on COVID-19 vaccination, clinical characteristics, and reproductive outcome of 1,000 intrauterine insemination (IUI) cycles in 653 couples from March 2021 to March 2022 in a single university hospital-based center for reproductive medicine. The IUI cycles were divided into two categories based on sperm source, including 725 cycles in 492 women undergoing artificial insemination with their husband's sperm (AIH) and 275 cycles in 161 women undergoing artificial insemination with donor sperm (AID). Women were then divided into two groups. The vaccine exposed group included women vaccinated prior to insemination and the unexposed group included women who were not vaccinated or vaccinated after insemination. Reproductive outcomes including ongoing pregnancy rate, clinical pregnancy rate, and miscarriage rate were assessed.ResultsInactivated COVID-19 vaccinated women prior to intrauterine insemination in AIH cycles have comparable ongoing pregnancy rate (11.1 vs. 10.3%, P = 0.73), clinical pregnancy rate (12.5 vs. 11.3%, P = 0.60) as compared with unvaccinated counterparts. Similarly, there were no significant differences in ongoing pregnancy rate (20.9 vs. 28.1%, P = 0.17), clinical pregnancy rate (21.7 vs. 28.8%, P = 0.19) between vaccine exposed and unexposed groups in AID cycles. Multivariable logistic regression analyses showed that inactivated COVID-19 vaccination status cannot independently influence the reproductive outcomes of AIH and AID cycles. Subgroup analysis of vaccine exposed cycles showed that doses of vaccination and Interval between the last dose of vaccination and insemination have no influence on the reproductive outcomes of AIH cycles.ConclusionsNo negative effects were found on female fertility in IUI cycles following exposure to the inactivated COVID-19 vaccine. These findings indirectly reflect the safety of inactivated COVID-19 vaccine toward reproductive health and help to mitigate vaccine hesitancy among people planning to conceive.

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Section: Discussionmentioning

confidence: 99%

Effect of inactivated COVID-19 vaccination on intrauterine insemination cycle success: A retrospective cohort study

Lin

et al. 2022

Front. Public Health

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“…Sperm move toward increasing chemical concentration. Chemotaxis was suggested in the literature as an active sperm guidance mechanism 61 . Sperm can sense the change in liquid concentration in the uterus.…”

Section: Human Conception Optimization Algorithmmentioning

confidence: 99%

A novel Human Conception Optimizer for solving optimization problems

Acharya

Das

2022

Sci Rep

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Computational techniques are widely used to solve complex optimization problems in different fields such as engineering, finance, biology, and so on. In this paper, the Human Conception Optimizer (HCO) is proposed as a novel metaheuristic algorithm to solve any optimization problems. The idea of this algorithm is based on some biological principles of the human conception process, such as the selective nature of cervical gel in the female reproductive system to allow only healthy sperm cells into the cervix, the guidance nature of mucus gel to help sperm track a genital tracking path towards the egg in the Fallopian tube, the asymmetric nature of flagellar movement which allows sperm cells to move in the reproductive system, the sperm hyperactivation process to make them able to fertilize an egg. Thus, the strategies pursued by the sperm in searching for the egg in the Fallopian tube are modeled mathematically. The best sperm which will meet the position of the egg will be the solution of the algorithm. The performance of the proposed HCO algorithm is examined with a set of basic benchmark test functions called IEEE CEC-2005 and IEEE CEC-2020. A comparative study is also performed between the HCO algorithm and other available algorithms. The significance of the results is verified with statistical test methods. To validate the proposed HCO algorithm, two real-world engineering optimization problems are examined. For this purpose, a complex 14 over-current relay based IEEE 8 bus distribution system is considered. With the proposed algorithm, an improvement of 50% to 60% in total relay operating times is observed comparing with some existing results for the same system. Another engineering problem of designing an optimal proportional integral derivative (PID) controller for a blower driven patient hose mechanical ventilator (MV) is examined. A significant improvement in terms of response time, settling time is observed in the MV system by comparing with existing results.

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“…reviews and studies have recognized the importance of moving beyond solely motility-based sperm selection methods towards combinational approach that use either negative or positive sperm selection based on the expression of certain biomarkers 17,54,55 . Conventional methods of selection (SU and DCG) omit the selection of sperm expressing any kind of biological moieties indicating abnormal sperm function or a lack of fecundity that may impact downstream processes in fertility treatment such as embryo quality or live-birth rate.…”

Section: Hybrid Sperm Selectionmentioning

confidence: 99%

A Biomimetic Microfluidic Selection Platform Providing Improved Sperm Quality Metrics Compared to Swim-Up

Warkiani

Vasilescu²,

Ding

et al. 2022

Preprint

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Sperm Selection is an essential component of all Assisted Reproductive Treatments (ART), and is by far and large the most neglected step in the ART work ow when it comes to technological innovation. Conventional sperm selection methodologies typically produce a higher total number of sperm with variable motilities, morphologies and levels of DNA integrity; Gold-standard techniques Density Gradient Centrifugation (DGC) and Swim Up (SU) have been proven to induce DNA fragmentation through the introduction of reactive oxygen species (ROS) during centrifugation. Here, we demonstrate a 3D printed, biologically inspired micro uidic sperm selection device (MSSP) that utilizes multiple methods to simulate a sperms journey towards selection. Sperm are rst selected based on their motility and boundary following behavior, then on their expression of apoptotic markers, yielding over 68% more motile sperm than previously reported methods within a lower incidence of DNA fragmentation and apoptosis. Sperm from the MSSP also demonstrated higher motile sperm recovery after cryopreservation than SU or neat semen. Experiments were conducted side-by-side against conventional SU methods using human semen (n = 33) and showed over an 85% improvement in DNA integrity with an average 90% reduction in sperm apoptosis. These results demonstrate an easy-to-use platform for sperm selection mimicking the biological function of the female reproductive tract during conception. CapsuleMicro uidic sperm selection is capable of e ciently and consistently preparing sperm, resulting in signi cantly lower DNA fragmentation, lower apoptosis, better cryosurvival, and higher-grade motility compared with the SU method.

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Simulating nature in sperm selection for assisted reproduction

Cited by 34 publications

References 310 publications

Effect of inactivated COVID-19 vaccination on intrauterine insemination cycle success: A retrospective cohort study

Effect of inactivated COVID-19 vaccination on intrauterine insemination cycle success: A retrospective cohort study

A novel Human Conception Optimizer for solving optimization problems

A Biomimetic Microfluidic Selection Platform Providing Improved Sperm Quality Metrics Compared to Swim-Up

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