| Literature DB >> 31726651 |
Takashi Kuno1, Masahito Tachibana1, Ayako Fujimine-Sato1, Misaki Fue1, Keiko Higashi1, Aiko Takahashi1, Hiroki Kurosawa2, Keisuke Nishio3, Naomi Shiga1, Zen Watanabe1, Nobuo Yaegashi1.
Abstract
We have developed an automated device for the measurement of oxygen consumption rate (OCR) called Chip-sensing Embryo Respiratory Measurement system (CERMs). To verify the safety and the significance of the OCR measurement by CERMs, we conducted comprehensive tests using a mouse model prior to clinical trials in a human in vitro fertilization (IVF) program. Embryo transfer revealed that the OCR measured by CERMs did not compromise the full-term development of mice or their future fertility, and was positively correlated with adenosine triphosphate (ATP) production and the mitochondrial membrane potential (ΔΨm), thereby indirectly reflecting mitochondrial oxidative phosphorylation (OXPHOS) activity. We demonstrated that the OCR is independent of embryo morphology (the size) and number of mitochondria (mitochondrial DNA copy number). The OCR correlated with the total cell numbers, whereas the inner cell mass (ICM) cell numbers and the fetal developmental rate were not. Thus, the OCR may serve as an indicator of the numbers of trophectoderm (TE) cells, rather than number or quality of ICM cells. However, implantation ability was neither correlated with the OCR, nor the embryo size in this model. This can probably be attributed to the limitation that chimeric embryos contain non-physiological high TE cells counts that are beneficial for implantation. CERMs can be safely employed in clinical IVF owing to it being a safe, highly effective, non-invasive, accurate, and quantitative tool for OCR measurement. Utilization of CERMs for clinical testing of human embryos would provide further insights into the nature of oxidative metabolism and embryonic viability.Entities:
Keywords: adenosine triphosphate (ATP); assisted reproductive technology; chimera; embryo evaluation; mitochondria; oxygen consumption rate
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Year: 2019 PMID: 31726651 PMCID: PMC6888687 DOI: 10.3390/ijms20225650
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Architecture of the Chip-sensing Embryo Respiration Monitoring system (CERMs). (A) Overview image of the architecture of the device, consisting of measuring plate, jig containing built-in warm plate, potentiostat, and laptop computer for analysis. (B) The measuring plate consists of five wells, and a chip sensor is implanted in the bottom of the well (top). An enlarged image of the chip sensor in the center of the well is shown (bottom left). Microelectrodes on the chip sensor are arranged in eight different directions, encircling a pit (bottom right). (C) Hemispherical area of dissolved oxygen concentration gradient formed by respiration of embryo on the chip. r, radius of embryo; R, distance from center of embryo to electrode. The figure is modified with permission from Shiga et al. [23].
Figure 2Correlations between the oxygen consumption rate (OCR), the adenosine triphosphate (ATP) levels, and the cell counts of blastocysts developed from a single embryo. (A) Scatter plot depicts the correlation between the OCR and the ATP levels in blastocysts developed from a single mouse embryo. The OCR was poorly correlated with the ATP level (r = −0.247; p = 0.075). (B) Scatter plot depicts the correlation between the OCR and the inner cell mass (ICM) numbers in blastocysts developed from a single mouse embryo. The OCR was poorly correlated with the ICM numbers (r = 0.069; p = 0.672). The small window shows a representative NANOG positive epiblast (ICM) within a mouse blastocyst. (C) Scatter plot depicts the correlation between the OCR and the total cell numbers in blastocysts developed from a single mouse embryo. The OCR was poorly correlated with the total cell numbers (r = −0.091; p = 0.577). The small window shows representative 4’,6-diamidino-2-phenylindole (DAPI)-positive nuclei in the cells of a mouse blastocyst. The original magnification of the immunohistochemical images was 400 ×.
Figure 3Adapting chimera blastocysts for CERMs evaluation in mice. (A) Figures depicting the preparation of mouse chimaera blastocysts by aggregating pairs of two-cell embryos. The chimaera blastocyst (top right) was larger than that developed from a single embryo (bottom right). The original magnification was 300 ×. (B) Scatterplot depicting the correlation between the OCR and the ATP level. The ATP level was significantly correlated with the OCR (r = 0.533; p < 0.05). (C,D) Scatterplots depicting the correlation between the OCR and the total cell and ICM epiblast numbers in chimera blastocysts. the ICM numbers were not correlated with the OCR (D) and total cell numbers were correlated with the OCR (D). (E) Scatterplot depicting the correlation between the OCR and the morphology (size) of the chimera blastocyst. No correlation was observed between the OCR and the morphology (r = −0.144; p = 0.61).
Figure 4Correlation between the OCR and the mitochondrial DNA (mtDNA) copy number and mitochondrial membrane potential. (A) Scatterplot depicting a weak correlation between the OCR and the mtDNA copy number. (B) Fluorescent microscopic images of JC-10 staining representing embryos with high-OCR (upper) and low-OCR (lower). Embryo with high-OCR exhibited strong J-aggregate (red) and weak monomeric form (green) signals. The original magnification was 200 ×.
Figure 5Embryo transfer based on the OCR and the effect of OCR measurement by CERMs on embryo development. (A) Schematic diagram representing embryo transfer based on the OCR. Chimera embryos with high- and low-OCR were transferred to each side of a bicornuate uterus of a synchronized-ICR recipient female. (B) Pictures show uterus recovered at 12.5 dpc. Numbers of implantation sites and fetal development were assessed. p, f, and * indicate placenta, fetus, and implantation site, respectively.
Relationship between OCR and implantation and viable pregnancy rates.
| Rep Number | Number of Embryos Transferred | Mean OCR (fmol/s) | Mean Diameter (μm) | Implantation Rate (%) | Fetus Rate (%) | Average Fetus Weight (g) | |
|---|---|---|---|---|---|---|---|
| High-OCR | 6 | 60 | 14.71 ± 4.61 * | 113.08 ± 19.27 | 34/60 (56.6) | 10/60 (16.7) | 80.93 ± 26.4 |
| Low-OCR | 6 | 60 | 7.65 ± 1.50 * | 110.67 ± 21.28 | 42/60 (60.0) | 23/60 (38.3) | 90.37 ± 28.5 |
| * | NS | NS | NS | NS |
* Asterisk indicates statistical significance (p < 0.05); NS: Not significant.
Relationship between embryo morphology (size) and implantation and viable pregnancy rates.
| Rep Number | Number of Embryos Transferred | Mean OCR (fmol/s) | Mean Diameter (μm) | Implantation Rate (%) | Fetus Rate (%) | Average Fetus Weight (g) | |
|---|---|---|---|---|---|---|---|
| Large | 3 | 30 | 9.28 ± 3.01 | 135.18 ± 13.28 * | 20/30 (66.7) | 13/30 (43.3) | 74.34 ± 20.0 |
| Small | 3 | 30 | 10.2 ± 3.96 | 108.40 ± 13.19 * | 17/30 (56.7) | 8/30 (26.7) | 72.10 ± 28.8 |
| NS | * | NS | NS | NS |
* Asterisk indicates statistical significance (p < 0.05); NS: Not significant.