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Human Reproduction (Oxford, England) logoLink to Human Reproduction (Oxford, England)
. 2019 Jul 9;34(8):1439–1449. doi: 10.1093/humrep/dez085

Can novel early non-invasive biomarkers of embryo quality be identified with time-lapse imaging to predict live birth?

J Barberet 1,2,2, C Bruno 1,2,2, E Valot 1, C Antunes-Nunes 1, L Jonval 3, J Chammas 1, C Choux 4, P Ginod 4, P Sagot 4, A Soudry-Faure 3, P Fauque 1,2,
PMCID: PMC6688874  PMID: 31287145

Abstract

STUDY QUESTION

Can time-lapse imaging systems make it possible to identify novel early non-invasive biomarkers to predict live birth?

SUMMARY ANSWER

From mostly high-grade embryos, out of 35 morphometric, morphologic and morphokinetic variables, only pronuclei (PN) position at time of PN juxtaposition and the absence of multinucleated blastomeres at the 2-cell stage (MNB2cell), were potentially associated with live birth.

WHAT IS KNOWN ALREADY

Previous studies indicate that some kinetic markers may be predictive of blastocyst development and embryonic implantation. Certain teams have suggested including some of them in decisional algorithms for embryo transfers.

STUDY DESIGN, SIZE, DURATION

Using a time-lapse incubator (EmbryoScope, Unisense FertiliTech), we retrospectively explored the associations between the morphometric, morphologic and morphokinetic parameters of oocytes, zygotes and embryos, and their associations with live birth. This study assessed 232 embryos from single embryo transfers after ICSI cycles performed between January 2014 and December 2017.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The morphometric, morphologic and morphokinetic parameters (18, 4 and 13, respectively) of oocytes, zygotes and early embryos were studied retrospectively. The associations between these parameters were examined using a Spearman’s correlation, Mann–Whitney or chi-squared test as appropriate. We examined whether these parameters were associated with outcomes in univariate and multivariate logistic regression analyses.

MAIN RESULTS AND THE ROLE OF CHANCE

Central PN juxtaposition was associated with a 2-fold increase in the odds of live birth (OR = 2.20; 95% CI, [1.26–3.89]; P = 0.006), while the presence of MNB2cell was associated with half the odds of live birth (OR = 0.51; 95% CI, [0.27–0.95]; P = 0.035). These two parameters were independent of embryo kinetics. The 33 remaining parameters had no significant association with the capacity of transferred embryos to develop to term.

LIMITATIONS, REASONS FOR CAUTION

Even though the population size was relatively small, our analyses were based on homogeneous cycles, i.e. young women whose transferred embryos were found to be high-grade according to conventional morphology evaluation. In addition, our conclusions were established from a specific, highly selected population, so other study populations, such as women in an older age bracket, may yield different results. Finally, because we assessed day 2/3 transfers, our findings cannot be generalized to embryos cultured up to the blastocyst stage.

WIDER IMPLICATIONS OF THE FINDINGS

It would be interesting to explore, prospectively, whether PN localisation is a relevant measure to predict embryo development when added into further algorithms and whether this parameter could be suitable for use in other IVF clinics. Further studies are needed, notably to explore the added value of timing evaluation in cohorts of embryos with low or intermediate morphology grade, as well as in other maternal populations (i.e. older women).

STUDY FUNDING/COMPETING INTEREST(S)

No external funding was used for this study. P. Sagot received funding from the following commercial companies: Merck Serono, Finox Biotech, Ferring, MSD France SAS, Teva Sante ´ SAS, Allergan France, Gedeon Richter France, Effik S.A., Karl Storz Endoscopie France, GE Medical Systems SCS, Laboratoires Genevrier, H.A.C. Pharma and Ipsen.

All the authors confirm that none of this funding was used to support the research in this study. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the journal policies on sharing data and materials.

Keywords: embryo morphology, embryo morphometric parameters, embryo kinetics, ICSI, live birth, time-lapse imaging system

Introduction

Single embryo transfers (SETs) reduce the incidence of multiple pregnancies after IVF (McLernon et al., 2010), but the selection of embryos with higher developmental potential is crucial to ensure high implantation and birth rates (Ziebe et al., 1997; Van Royen et al., 1999; De Neubourg et al., 2002). Traditionally, and according to the ESHRE/ALPHA consensus, embryo morphological grading, like the number of blastomeres and the degree of fragmentation, are useful criteria for embryo selection (ALPHA Scientists in Reproductive Medicine and ESHRE Special Interest Group Embryology, 2011). Over the last few years, time-lapse imaging (TLI) systems have been developed, giving embryologists the chance to use additional non-invasive criteria. Several markers of embryonic kinetics (Lemmen et al., 2008; Abeyta and Behr, 2014; Armstrong et al., 2015) have been studied from the first cleavage onwards, and some of them have been applied in decisional algorithms for embryo transfer (Meseguer et al., 2011; VerMilyea et al., 2014; Basile et al., 2015; Liu et al., 2016; Milewski et al., 2016; Petersen et al., 2016; Carrasco et al., 2017). However, there is still a need to determine whether kinetic parameters can be used as independent criteria to improve embryo selection (Goodman et al., 2016; Petersen et al., 2016; Armstrong et al., 2018).

A study published in 2018 employed TLI monitoring to investigate fertilisation events in detail (Coticchio et al., 2018). Even though the impact on clinical outcomes has not been assessed, the morphokinetic parameters linked to fertilisation were identified as potential novel embryonic developmental biomarkers (Coticchio et al., 2018). Furthermore, reports that look at oocyte size and morphology as indications of oocyte quality are scarce. The recently established relationship between the morphometric parameters of mature oocytes and the morphokinetic behaviour of subsequent embryos underline the need for further evaluation of oocyte morphology (Faramarzi et al., 2017).

The TLI system thus offers researchers the ability to explore the impact of other non-invasive parameters on outcomes, in the embryo as well as in the oocyte and zygote. However, the association between early oocyte- or fertilisation-related parameters and clinical outcomes has garnered little attention so far. This study provides a comprehensive morphometric, morphologic and morphokinetic description of embryos starting from the oocyte in a subset of SET. Our main objective was to expand the range of possible parameters that may be developed as non-invasive biomarkers of live birth.

Materials and Methods

Study design and population

This retrospective study from January 2014 to December 2017 at the University Hospital of Dijon included SET (elective or not, i.e. with remaining cryopreserved embryos or only one embryo available, respectively) at either day 2 or 3 from fertilized oocytes cultured in the time-lapse incubator (EmbryoScope, Unisense FertiliTech). Only ICSI cycles were included, allowing us to control the time of insemination and to report oocyte- and fertilisation-related measures. We only included one cycle per patient. Women over 42 years of age, egg donations, cases associated with disorders such as hydrosalpinx, obesity (BMI > 32) or uterine conditions and surgical spermatozoa or ICSI performed in a viral context were excluded. A total of 232 transferred embryos were studied.

We then completed a comprehensive morphometric, morphologic and morphokinetic description of the embryos. To improve the consistency and homogeneity of the results, the embryos were described systematically by the two same embryologists who were blinded to the outcome of the embryo transfer.

The information used in the study was collected for clinical care. According to French Public Health Law, non-interventional studies on humans do not require approval from Institutional Review Board or written consent from the participants. Nevertheless, we obtained formal confirmation that ethical approval was not required for this observational study.

ICSI protocol and embryo culture

The controlled ovarian stimulation (COS) protocols consisted of either long or short GnRH agonist downregulation followed by rFSH/hMG or antagonist protocols. The short agonist protocol was preferred for patients with an expected low ovarian response while the antagonist protocol was used to prevent ovarian hyperstimulation syndrome. A single injection of hCG (Ovitrelle; Merck Serono) was administered to induce final follicular maturation. The luteal phase was supported by 400 mg of vaginal progesterone started the day after oocyte retrieval. The dose was maintained until 6 weeks of gestation (WG) and then dropped to 200 mg per day until 8 WG. Oocyte retrieval was performed by transvaginal ultrasound-guided follicle aspiration 36 h after hCG injection. Sperm preparation for ICSI was performed as previously described (Barberet et al., 2018). The oocyte–cumulus complexes were denuded using hyaluronidase (Fertipro, Belgium). ICSI was performed within 2 h of oocyte retrieval on mature oocytes.

After micro-injection, inseminated oocytes were immediately transferred into pre-equilibrated Embryoslides (Unisense Fertilitech) with 25 μl of culture medium (Global, LifeGlobal) under oil (Nidoil, Nidacon). Then, the Embryoslides were incubated in the EmbryoScope at 37.0°C, 6%CO2, 5%O2. Embryo development was recorded every 20 min in seven different focal planes. The images and related data were stored in the EmbryoViewer (Unisense FertiliTech) and subsequently analysed.

Recording of morphologic-morphometric-morphokinetic parameters

The annotation options for all parameters described in Supplementary Table SI and Fig. 1 are not included in the Embryoscope software. Therefore, an independent, purpose-built database was created and used for data analysis.

Figure 1.

Figure 1

Description of recorded morphokinetic events (A) and monitored morphologic-morphometric parameters (B).

Oocyte

The oocyte diameter (corresponding more precisely to the ooplasm) and the first polar body (PB1) area were documented. The mean thickness of the thinnest and thickest zona pellucida (ZP) were used to estimate the thickness of the ZP.

Zygote

Similarly, we recorded the measurements of the second polar body (PB2). Nuclear events were annotated as suggested by Ciray et al. (2014): (i) the time of PB2 emission (tPB2), (ii) the time of appearance of the two pronuclei (tPNa) with the distinction of the female (identified as the one near the site of emission of the PBII) and male pronuclei (PN), (iii) the time of PN juxtaposition (tPNjuxta), (iv) the time of their fade out (tPNf) and (v) the time period in which the pronuclei were visible (VP).

At the tPNjuxta, we annotated the PN position (cortical, intermediate or central). Fertilisation status was checked 17 h ± 30 min after ICSI as recommended by the ESHRE/ALPHA consensus (2011). At this time, the areas of the PN (female and male) and the diameter of the zygote were also assessed. PB and PN surfaces were directly measured thanks to the EmbryoScope viewer’s elliptical measurement tool by circumscribing the outer periphery of PB or PN. The polarization of nucleolar precursor bodies (NPBs) was recorded distinctly within the female and male PN at 17 h +/− 30 min.

We indicated whether there was a cytoplasmic halo and its position relative to the centre of the oocyte (symmetrical/asymmetrical). The presence of one or more vacuoles was also recorded.

Embryos

The classic morphological appearance of the embryos was monitored: the number and the size of blastomeres (regular or irregular cleavage) and the percentage of anucleate fragments were evaluated once at 44 ± 1H on Day 2 and 68 ± 1H on Day 3 post-ICSI as recommended by the ESHRE/ALPHA consensus. The only criterion used to decide whether to transfer on Day 2 or 3 was the day of oocyte retrieval: Friday [embryo transfer at Day 3] or not [embryo transfer at Day 2]. The sequence of events was recorded according to previously established guidelines (Ciray et al., 2014). Therefore, cell stages were described as the time from ICSI to the first frame in which the membranes of the two, three or four blastomeres were completely separated (t2, t3, t4). Additionally, we calculated the duration of the first cell cycle (ECC1 = t2-tPB2), the second embryo cell cycle (ECC2 = t4-t2) and the time period to complete synchronous divisions (S2 = t4-t3). We checked for two possible anomalies in embryo cleavage: reverse cleavage, when a blastomere is re-absorbed after cleavage, and direct cleavage, when a single blastomere divides directly from one to three cells in less than 5 h at first cleavage.

The nuclear area was assessed in embryos at the 2-cell stage (the area was measured in each visible nucleus and if two nuclei were observed, we calculated the mean and whether the difference between the nuclei was ≥25%) and the 4-cell stage (for one randomized nucleus). At the 2-cell stage, the nuclear and multinucleation status were also checked and recorded as MNB2cell if at least one blastomere was multinucleated. The presence of multinucleation at Day 2/3 was documented as was the number of visible mononucleated blastomeres at the 4-cell stage.

Embryos fertilized on Day 1 with regular 4- to 5-cell embryos at Day 2, <20% fragmentation and no MNB2cell were deemed ‘TOP’ grade (Van Royen et al., 1999; Fauque et al., 2013).

Outcomes

Live birth was the main endpoint of this study. We associated the features recorded in the early embryonic stages with the occurrence of live birth. We also investigated the potential associations between morphologic, morphometric and/or embryonic events.

Statistical analysis

Patient characteristics were described and compared depending on the outcome (live birth or no live birth) using a chi-squared test or Fisher’s exact test for categorical variables and a Student’s t-test or Mann–Whitney test for continuous variables.

The morphometric, morphologic and morphokinetic parameters of the embryos were first described and expressed as frequencies for categorical data, and as means with SD for time parameters and quantitative data. A box plot was used to summarize the distribution of time parameters. The associations between these parameters were then examined using Spearman’s rank correlation (ρ), a Mann–Whitney test or a chi-squared test as appropriate.

The relationship between morphometric, morphologic and morphokinetic parameters of embryos and the onset of live birth (independent variable) was first examined in univariate analysis using appropriate tests. Because there was no initial hypothesis regarding a threshold, morphometric parameters (oocyte or zygote diameters and the nuclear areas at the 2-cell and 4-cell stages) were converted from continuous variables into binary variables by dividing them into groups based on their 75th percentile. Then, the parameters that reached a significance of P < 0.15 in univariate analyses were introduced into a stepwise multivariate logistic regression model. A backward procedure was used, and variables were excluded if the corresponding P-value for the Wald test was higher than 0.05. Analyses were systematically adjusted for maternal age, which is known to impact the rate of live birth. The cause of female infertility and the COS protocol are linked, so we chose to include only the protocol in the model as an adjusted variable. Interactions were tested, and the adequacy of the model was assessed using the Hoswer–Lemershow test. Models were compared using the Akaike information criterion.

P < 0.05 was considered significant for all tests except the analysis of associations between morphologic, morphometric and/or embryonic events where a lower P-value (<0.01) was used to determine significance given the number of analyses. Odds ratios (OR) are provided with 95% confidence intervals (CI). All analyses were performed using SAS statistical software (version 9.4, SAS Institute, Cary, NC).

Results

Patient characteristics

From 232 SETs (85% and 15% at Days 2 and 3, respectively), 118 biochemical pregnancies and 99 live births of healthy children were achieved. The mean age of the women in our study was 30.8 ± 4.2 years. The mean value for anti-Müllerian hormone (AMH) was 4.4 ± 4.3 ng/ml, mean BMI was 23.8 ± 4.2 and the mean number of treatment cycles was 1.1 ± 0.3. Indication for treatment was male infertility alone in 38.4% of cycles and combined male and female infertility in 40.1% of cycles. Biochemical pregnancy, implantation and delivery rates were 50.9%, 45.3% and 42.7%, respectively.

First, we compared the characteristics of the two groups of SETs resulting in a live birth or not (Supplementary Table SII). The COS protocols were different while age, AMH values, BMI and cycle characteristics (such as number of retrieved oocytes) were similar (Supplementary Table SII).

Association between morphologic/morphokinetic/morphometric embryo parameters

The analyses of correlations revealed that oocyte diameter was not associated with any time parameters (Fig. 2).

Figure 2.

Figure 2

Correlations between quantitative variables (oocyte diameter and fertilisation/embryonic timings), Spearman’s correlation test (ρ). Grey boxes represent non-significant coefficients. tPB2, time of polar body (PB) 2 emission; tPNa, the time of appearance of the two pronuclei with the distinction between the female (identified as the one near the site of emission of the PBII) and male PN; tPNjuxta, the time of PN juxtaposition; tPNf, the time of pronuclear fade out; t2, t3, t4, the time to reach 2, 3, 4 cells; VP, the time period in which the pronuclei were visible; ECC2, the time period of the second cell cycle (t4-t2); S2, the time period to complete synchronous divisions (t4-t3).

Among kinetic embryo parameters, there was no correlation between tPB2, tPNa and tPNjuxta and any of the subsequent events. From the time of PN disappearance onwards, the timings of the various embryonic events were correlated together (Fig. 2). A significant correlation was found between ECC2 and t4 (ρ = 0.746; P < 0.001) as well as between VP and tPNf (ρ = 0.735; P < 0.001; Fig. 2).

The associations between the timings of embryonic events and morphological embryonic parameters were studied. The later first cleavage occurred, the later further embryo divisions occurred. The times at which PN faded were associated with the appearance of the first cleavage (Supplementary Table SIII). The central position of PN juxtaposition was not associated with any timing or morphological parameters except the time of PN juxtaposition (P < 0.001, Supplementary Table SIII).

Morphologic/morphokinetic/morphometric embryo parameters and outcomes

The next step was to compare the early embryo parameters recorded in the two outcome groups in order to detect potential new markers for embryos likely to result in live birth.

In our sample, which was composed of more than 88% of TOP embryos, the four conventional morphologic parameters observed at Day 2 and 13 timings of embryonic events were not significantly different in the two groups (Table I, Supplementary Table SIV, Fig. 3).

Table I.

Morphologic parameters according to live birth outcome.

Live birth
Parameter No (n = 133) Yes (n = 99) P-value a
Cleavage stagec:
2-cell 1 (0.7) 0 (0) 1.000
4-cell 125 (94.0) 94 (95.0)
5-cell 5 (3.8) 3 (3.0)
6-cell 2 (1.5) 2 (2.0)
1st Cleavage
≤26 h 100 (75.2) 81 (81.8) 0.228
>26 h 33 (24.8) 18 (18.2)
Embryo fragmentationc:
[0–10]% 119 (89.5) 82 (82.8) 0.318
[10–20]% 12 (9.0) 14 (14.1)
[20–50]% 2 (1.5) 3 (3.0)
Cleavage typec:
regular 124 (93.2) 94 (94.9) 0.587
irregular 9 (6.8) 5 (5.1)
‘TOP’ embryob 118 (88.7) 88 (88.9) 0.968

For categorical variables, n (%) is presented. For continuous variables, mean (± SD) and range are presented. IQ: interquartile.

a

aChi2 or Fisher’s exact tests were used for dichotomous variables.

b

b‘TOP’ embryo is fertilized at Day 1 without MNB2cell with regular 4- to 5-cell embryos at Day 2 with <20% fragmentation.

c

cAt 43H+/-1H.

Figure 3.

Figure 3

Timing of morphokinetics events occurring during early embryo development according to the live birth outcome. Boxes represent the interquartile range (IQR). Lines inside the boxes are the median. Whiskers represent the lowest datum still within 1.5 IQR of the lower quartile, and the highest datum still within 1.5 IQR of the upper quartile. tPB2, time of PB; 2 emission; tPNa, the time of appearance of the two pronuclei with the distinction between the female (identified as the one near the site of emission of the PBII) and male PN; tPNjuxta, the time of PN juxtaposition; tPNf, the time of pronuclear fade out; t2, t3, t4, the time to reach 2, 3, 4 cells.

Among the 18 morphometric parameters investigated (from oocyte to 4-cell stage, Fig. 1) with univariate analyses, no statistically significant differences were observed, except for PN position at the time of juxtaposition (Table II). The analysis of the live birth rates according to PN position and the features of the cytoplasmic halo showed that the live birth rate was the highest when the PN juxtaposition was central, whatever the type or presence of cytoplasmic halo (Supplementary Fig. S1).

Table II.

Morphometric parameters and abnormal cleavage according to live birth outcomes.

Live birth
No (n = 133) Yes (n = 99) P-valuea
Oocyte diameter (μm)
Mean 115 ± 5 (106–131) 115 ± 4 (102–125) 0.258
75th percentile: 118 μm2
<118 88 (66.2) 76 (76.8) 0.079
≥118 45 (33.8) 23 (23.2)
ZP mean thickness (μm) 17.0 ± 2.3 (12.5–24.0) 17.1 ± 2.5 (11.5–25) 0.806
PB area (μm2)
1 290 ± 91 280 ± 89 0.376
2 243 ± 92 250 ± 116 0.633
PN area (μm2)
523 ± 84 (333–787) 529 ± 94 (315–773) 0.606
526 ± 92 (306–787) 532 ± 83 (383–731) 0.592
Zygote diameter (μm)
Mean 111 ± 5 (99–123) 111 ± 5 (97–127) 0.926
75th percentile: 113 μm2
<113 94 (70.7) 66 (66.7) 0.514
≥113 39 (29.3) 33 (33.3)
Presence of vacuole(s) at zygote-stage (yes) 18 (13.5) 14 (14.1) 0.8944
Cytoplasmic halo:
No 40 (30.1) 25 (25.3) 0.697*
Symmetrical 21 (15.8) 21 (21.2)
Asymmetrical 72 (54.1) 53 (53.5)
Position of PN juxtaposition:
Cortical 6 (4.5) 4 (4.1) 0.056
Intermediate 78 (58.7) 43 (44.3) 0.017**
Central 49 (36.8) 50 (51.6)
Polarization of NPBs/PN (♀/♂)
Yes/Yes 43 (32.3) 31 (31.3) 0.690
Yes/No 36 (27.1) 22 (22.2)
No/Yes 11 (8.3) 12 (12.1)
No/No 43 (32.3) 34 (34.3)
At 2-cell stage, nuclear status:
2 nuclei visible 2 (1.5) 4 (4.0) 0.406
0 or 1 nucleus visible 131 (98.5) 95 (96.0)
At 2-cell stage, nuclear area (μm2)b:
Mean 425 ± 89 (213–649) 431 ± 85 (255–663) 0.634
At 4-cell stage:
Random nucleus area (μm2)
Mean 299 ± 75 (75–490) 307 ± 70 (51–424) 0.411
Number of visible nuclei at 4-cell stage
<4 31 (23.3) 26 (26.3) 0.605
4 102 (76.7) 73 (73.7)
MNB2cell (Yes) 45 (33.8) 24 (24.2) 0.114
MNB4cell (Yes) 4 (3.0) 3 (3.0) 1
DC (Yes) 3 (2.3) 1 (1.0) 0.638
RC (Yes) 1 (0.8) 1 (1.0) 1

For categorical variables, n (%) is presented. For continuous variables, mean (± SD) and range are presented. DC: direct cleavage, MNB: multinucleation blastomere, RC: reverse cleavage.

a

a Chi2 or Fisher’s exact tests were used for dichotomous variables and Student t-test or Mann–Whitney U-test for continuous variables.

*Statistical analyses comparing with and without cytoplasmic halo.

**Statistical analyses comparing central versus cortical/intermediate position of PN.

We then proceeded to a multivariate analysis that included the variables from the univariate analysis with a P-value below 0.15 in (i.e. the 75th oocyte diameter, the PN position at time of juxtaposition, the VP timing, the multinucleation at 2-cell stage). Adjustments were systematically made for maternal age and COS protocol. Finally, the presence of MNB2-cell and the central PN juxtaposition were significantly associated with live birth. The presence of MNB2-cell at the 2-cell stage was found to decrease the odds of live birth by almost half (OR = 0.51; 95% CI, [0.27–0.95]; P = 0.035, Table III). On the contrary, central PN juxtaposition increased the odds of live birth more than two folds (OR = 2.20; 95% CI, [1.26–3.89]; P = 0.006, Table III). This last result was consistent in the analysis of the subgroup of ‘TOP’ embryos (OR = 2.09; 95% CI, [1.17–3.79]; P = 0.014).

Table III.

Multivariate analysis for live birth outcome.

OR* 95% CI P-value
Maternal age (≥37 vs <37a) 0.36 [0.11–1.05] 0.075
COS protocols (others versus long agonista) 0.40 [0.21–0.74] 0.004
Position of juxtaposed PN (central versus intermediate/corticala) 2.20 [1.26–3.89] 0.006
MNB2-cell (Yes vs Noa) 0.51 [0.27–0.95] 0.035

CI: confidence interval; COS: controlled ovarian stimulation; OR: odds ratio.

a Reference category.

*ORs computed from stepwise multivariate logistic regression.

Discussion

The selection of embryos with high developmental competence is an important issue in ART programs. Nowadays, thanks to TLI systems, we can simultaneously and thoroughly assess many potential non-invasive predictive markers without being detrimental at the early stages of preimplantation development. In this retrospective study, focused on SETs from ICSI attempts, we studied the potential impact of a total of 35 morphokinetic, morphometric and morphologic parameters on birth outcomes.

In the present study, 2 of the 18 morphometric characteristics were associated with transferred embryos developing to term: the position of the PN at the time of PN juxtaposition and the absence of MNB at the 2-cell stage. The likelihood of live birth was increased when the PN were located centrally instead of peripherally or intermediately at the time of juxtaposition.

To our knowledge, there are no previous studies assessing the impact of this parameter on live birth. PN location at fading time was not a determining factor for implantation as previously found with oocyte donor cycles (Aguilar et al., 2014). However, when Coticchio et al. (2018) investigated fertilisation events and the development of Day 3 embryos, they noticed that the more peripherally male PN appearance occurred, the later the time of PN breakdown and first cleavage. They hypothesized that a male PN in the peripheral position requires extra time to achieve central positioning, potentially influencing the timing of later events. Our findings confirmed that positional events during fertilisation may influence not only the timing of later events but also the birth potential of transferred embryos. Moreover, contrary to the cytoplasmic halo, this parameter could be a particularly discriminating biomarker for high-grade embryos. It would be interesting to prospectively explore whether this criterion is relevant for predicting embryo development (via decisional algorithms) and suitable for different clinical settings.

We also found that the presence of MNB at the 2-cell stage decreased the likelihood of live birth by almost half. The significant negative effect of multinucleation at the 2-cell stage observed in the present study is in line with previous reports (Ergin et al., 2014; Desch et al., 2017). This could be linked to the high rates of chromosomal aneuploidy in such embryos (Staessen and Van Steirteghem, 1998; Meriano et al., 2004).

For morphometric oocyte assessments, our mean oocyte diameter was similar to the measurements reported in two other studies (Cavilla et al., 2008; Romão et al., 2010). Faramarzi et al. (2017) recently reported shorter embryo cleavage times (tPB2, t5, t8) for oocytes with a larger diameter. Though oocyte diameter and embryo kinetics could be associated, we found no link between oocyte diameter and the timing of further embryonic events or the outcome of ICSI in multivariate analyses.

Overall, we found that kinetic parameters were not capable per se of predicting the live birth potential of early preimplantation embryos selected with conventional morphological assessments. We recognize that these results may seem a bit perplexing. However, while not serving as ultimate answer to the question of the interest of time-lapse records, this original comprehensive study using live birth as an endpoint reveals no marked timing differences between transferred embryos that result in a live birth and those that do not.

Several authors have indicated that morphokinetic parameters are characteristic of blastocyst formation (Wong et al., 2010; Conaghan et al., 2013; Milewski et al., 2015; Motato et al., 2016) and pregnancy or implantation (Meseguer et al., 2011; VerMilyea et al., 2014; Basile et al., 2015; Liu et al., 2016; Milewski et al., 2016; Motato et al., 2016; Petersen et al., 2016; Carrasco et al., 2017) but the general applicability of former morphokinetic algorithms for pregnancy, implantation or birth prediction is currently subject to controversy. Some authors who were not involved in developing the algorithms have maintained that time-lapse algorithms have a significantly higher predictive power than conventional scoring (Adamson, 2016; Kieslinger et al., 2016; Adolfsson et al., 2018; Liu et al., 2018), while other authors were unable to show a significant predictive capability for pregnancy, implantation or live birth (Kirkegaard et al., 2014; Yalçınkaya et al., 2014; Fréour et al., 2015; Ahlstrom et al., 2016; Goodman et al., 2016; Barrie et al., 2017; Adolfsson et al., 2018). These discrepancies are probably due to the fact that timing is markedly influenced by the fertilisation method (Lemmen et al., 2008), culture medium (Ciray et al., 2012), oxygen level (Kirkegaard et al., 2013a), population features (Fréour et al., 2013; Wissing et al., 2014) and controlled stimulation protocols. Moreover, the addition of time-lapse kinetics was not found to improve embryo selection in a recent randomized controlled trial (Goodman et al., 2016). This is in line with Ahlstrom’s conclusions specifying that for transfers of fresh Day 2 embryos, conventional morphology can be used to predict live birth more accurately than kinetics (Ahlstrom et al., 2016). In addition, most algorithms used early embryonic cleavage parameters (mainly based on t2, t3 and t4) (Meseguer et al., 2011; VerMilyea et al., 2014; Basile et al., 2015; Milewski et al., 2015; Liu et al., 2016; Petersen et al., 2016) which we found to be interdependent. Finally, Azzarello et al. (2012) and Aguilar et al. (2014) who investigated the possible effects of the timing of PN fading on implantation and live birth rates, respectively, reported discordant results. While Azzarello et al. found a longer mean PN fading time for zygotes resulting in live birth, Aguilar reported earlier timing in embryos that implanted successfully. In the current study, PN fading did not contribute to the live birth outcome. Similarly, the VP was not significant in our multivariate analysis, contrary to Ahlstrom et al. (2016). But, almost all of the transferred embryos in our population had a high-grade morphology (>88% of TOP embryo), potentially reducing the chance of finding a discriminative VP range. We can therefore hypothesize that timing may be more relevant for cohorts of embryos with ‘intermediate’ grade morphology. Further studies are needed, notably to explore the value of timing in embryonic cohorts that are not predominantly ‘TOP’ embryos. Even though we found no relevant time-related measurements, the time-lapse system remains the only tool to detect abnormal embryo cleavage (i.e. reverse or direct cleavage), which is detrimental for early and late embryo development (Rubio et al., 2012; Liu et al., 2014; Barrie et al., 2017). The present study was not tailored to evaluate the effect of abnormal cleavage and MNB at Day 2, especially since embryos with such irregularities were not selected for transfer when possible.

For the purposes of our study, we included SETs only (elective or not) in order to exclude a potential bias linked to multiple-embryo transfers (patient-related factors such as the receptivity of the endometrium). Of course estimations can be made to statistically account for dependencies within individuals and to exclude potential bias in the known implantation data-KID studies, but this risk cannot be fully mastered, especially with relatively small cohorts. In our multivariate analyses, contrary to the type of COS protocol, maternal age was not found to be a major criterion for ICSI outcomes. This can be explained by our young maternal population (averaging 30 years old).

Moreover, because previous studies have demonstrated relatively broad morphokinetic time ranges for optimum blastocyst formation or implantation (Meseguer et al., 2011; Azzarello et al., 2012; Dal Canto et al., 2012; Hlinka et al., 2012; Chamayou et al., 2013; Kirkegaard et al., 2013b), the sample size of our study may be not sufficient to establish clear differences in timing for embryos with a high potential for implantation and development to birth and those with a low potential. Our conclusions, established from a selected population, may yield different results in other study populations, for instance women in an older age bracket. Finally, because we assessed Day 2/3 transfers, our findings may potentially not be extrapolated to embryos cultured up to the blastocyst stage.

Conclusions

To our knowledge, this is the first analysis of its kind to use birth as an endpoint and to investigate as many morphometric, morphokinetic and morphologic parameters. From this analysis, we can underline one novel non-time-related parameter—PN position at the time of PN juxtaposition—which was found to be associated with live birth. The use of this new potential biomarker as well as the screening of multinucleation at the 2-cell stage, is all the more interesting as the embryos are of high-grade morphology. In addition, these qualitative parameters are clinically easier to apply than quantitative parameters, which tend to be difficult to reproduce and more sensitive to variations in clinic-specific characteristics.

While our study was not designed to assess time-lapse algorithms, our data underline that most morphokinetic parameters up to Day 2 cannot distinguish the ‘TOP’ embryos that develop to term from those that end in a failure (around half). We believe that it is not worth taking the time to scrupulously annotate and analyse the timing of events throughout preimplantation development for a good quality embryo that has already undergone conventional grading. The use of Artificial Neural Network, a promising tool for automated annotation of morphokinetic data generated with a TL device, could overcome this issue (Wolczyński et al., 2009; Mölder et al., 2015). We expect that the growing use of genetic screening and the resulting use of these measurements may help us to better select embryos with high developmental competence and to decipher whether some of these non-invasive parameters could be considered as additional independent predictors.

Supplementary Material

Supplementary_Figure_S1_dez085
Supplementary_Table_S1_dez085
Supplementary_Table_S2_dez085
Supplementary_Table_S3_dez085
Supplementary_Table_S4_dez085

Acknowledgments

We thank all the technicians of the Reproductive Laboratory of Dijon University Hospital and Nicolas Braquehais for their valuable help. We thank Suzanne Rankin for proofreading the manuscript.

Funding

None.

Authors’ roles

P.F., J.B. and C.B. were the principal investigators and take primary responsibility for the paper. C.B., E.V., J.C. and C.A.N. collected the data. C.C. and P.S. were involved in the clinical management of patients. L.J. and A.S. did the statistical analyses. P.F., J.B. and C.B. coordinated the research and drafted the manuscript.

Conflict of interest

P. Sagot received funding from the following commercial companies: Merck Serono, Finox Biotech, Ferring, MSD France SAS, Teva Sante ´ SAS, Allergan France, Gedeon Richter France, Effik S.A., Karl Storz Endoscopie France, GE Medical Systems SCS, Laboratoires Genevrier, H.A.C. Pharma and Ipsen.

All the authors confirm that none of this funding was used to support the research in this study. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the journal policies on sharing data and materials.

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Associated Data

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Supplementary Materials

Supplementary_Figure_S1_dez085
Supplementary_Table_S1_dez085
Supplementary_Table_S2_dez085
Supplementary_Table_S3_dez085
Supplementary_Table_S4_dez085

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