Association Between MitoScore, BMI, and Body Fat Percentage as a Predictive Marker for the Outcome of In-Vitro Fertilization (IVF) – Cureus


Infertility is defined because the inability to establish a pregnancy within 12 months of regular and unprotected sexual intercourse. In response in order to these problems, assisted reproductive techniques (ARTs) have made profound impacts on the therapeutic management associated with infertility. However , in-vitro fertilization (IVF) success rates are confounded by several internal and external factors.   A relatively new approach to embryo assessment will be known since MitoScore (Igenomix, Miami, USA).   As a result, we sough to evaluate whether MitoScore can help in predicting in IVF  outcomes, and to assess the relationship between MitoScore, BMI, plus body fat percentage in determining the success of ARTs.


Using retrospective cohort, a  study population consisting of 166 women aged 26-43  who were undergoing ART with pre-implantation genetic testing for aneuploidy (PGT-A) was assessed to determine if MitoScore, BMI, and body fat percentage impacted IVF results.


MitoScore, BMI, plus excess fat percentage were significantly lower in pregnant women as compared to non-pregnant women. Furthermore, MitoScore was correlated with subclasses of IVF final results (delivery, biochemical pregnancy, and spontaneous abortion) and has been found to be positively linked to BMI inside patients with biochemical pregnancies.


Our findings suggest that MitoScore, BMI, and extra fat percentage could act as critical parameters in identifying the achievements of ARTWORK. Nevertheless , the association between MitoScore, BODY MASS INDEX, and body fat portion does not appear to be the significant confounding factor to find out pregnancy outcome at this stage. Still, many factors need in order to be considered to establish the particular correlation reliably.


Infertility is defined as the inability to establish a pregnancy inside 12 months associated with regular plus unprotected sexual intercourse [1] . Current studies claim that approximately 8-12% of the global population is affected by infertility [2] . In response to these problems, assisted reproductive techniques (ARTs) make profound impacts on the particular therapeutic management of infertility. However , the in-vitro feeding (IVF) success rates are confounded simply by several internal and external factors. The predictive aspects for successful pregnancy after ARTs have long been studied [3] . Among those studied, epidemiological elements such because lifestyle, family history, and overall body attributes are considered to modulate the endocrine system plus affect IVF outcomes [4-6] . It has been demonstrated that being overweight or having a higher BMI are usually associated along with unsuccessful IVF [7] . Also, obese women with higher levels of fatty acids and fat hormones possess decreased fecundity and impaired IVF outcomes [8-10] . Factors affecting  ovarian function such since female age, number of oocytes, duration of subfertility, and basal follicle-stimulating hormone (FSH) have been identified as predictors for success in IVF [11] . Furthermore, some factors including a previous pregnancy, the diagnosis after fertility workup, and the number of previous failed IVF attempts are probable predictors of IVF success [11] . However , even after considering these aspects, IVF success rates have remained low [12,13] .

A relatively new approach to embryo assessment is known as MitoScore. MitoScore is a value that represents the normalized mitochondrial DNA (mtDNA) quantity in embryos [14] . Mitochondria are usually involved in the regulation of many cellular processes, such as apoptosis, amino acid synthesis, plus generation of ATP. Therefore, the quantity of mtDNA has been related to the energy supply associated with the embryo [13] . Nevertheless , an increased amount of mtDNA is related to poor implantation potential and reduced metabolic fuel for oocyte maturation [15] . It has been estimated that mature oocytes have more than 150, 000 copies of mtDNA. Although adult oocytes with less than 4, 000 mtDNA duplicates can be fertilized and normally develop to blastocyst stage, the threshold of 40, 000-50, 500 mtDNA copies is needed with regard to post-implantation development of mature oocyte [16] . The majority of embryos at cleavage phase with low mtDNA copy numbers are unable to complete post-implantation development [16] .   A negative correlation offers been reported between maternal age plus number of mtDNA copies in human oocytes [17] , and poor oocyte quality within ovarian insufficiency has also been correlated with lower MitoScore [18] . Mitoscore, thus, could offer invaluable insights into IVF outcomes [15,19] . It provides been suggested that MitoScore is a potential novel biomarker regarding IVF treatment, revealing the particular incapability associated with a blastocyst with normal chromosomes to produce a viable pregnancy [20] . However, there are contradictory results about the validity of MitoScore because a predictor of embryo implantation [20] .

Understanding the factors affecting IVF outcome may be useful for predicting results plus lead to the particular development associated with effective strategies to improve the success rate of IVF treatment [21] . To answer the question of whether or not MitoScore can help in forecasting outcomes associated with IVF, as well while to determine the relationship between MitoScore, BMI, and body fat percentage in determining the success of ARTs, we performed a prospective cohort study using data from women undergoing Artistry with pre-implantation genetic testing.

Materials & Methods

Study population

The study populace consisted of 166 ladies, 26-43 years of age (mean associated with 36. 08 years), plus mean BMI of 24. 99, who were undergoing ART along with pre-implantation genetic testing intended for aneuploidy (PGT-A). Of those 166 females, 36 women did not conceive and 130 became pregnant, with 104 having delivery.   Furthermore, 15 biochemical pregnancies and 11 spontaneous abortions (SAb) were documented. PGT-A plus MitoScore testing (on euploid embryos) were performed by Igenomix, Miami, USA, to get all 140 pregnant ladies.

The protocol of this retrospective study was approved by our institutional review board, the particular ethics committee of Clinical Research ART data gathering complies with US law on assisted reproductive technologies (The Fertility Clinic Success Rate Act (Wyden bill) of 1992).

Oocyte retrieval, embryo biopsy, and culture conditions

Patients underwent controlled ovarian stimulation using standardized protocols. When at least two follicles had reached ≥ 18 mm in diameter, human being chorionic gonadotropin (hCG) (Pregnyl (MSD, USA) at either 5. 000 or 10. 000 international units (IU) was administered to trigger oocyte growth. Oocyte retrieval was carried out 36 hours after hCG administration under transvaginal ultrasonography guidance. After oocyte denudation, intracytoplasmic sperm injection (ICSI) was performed and fertilization was assessed 17-20 hrs after microinjection and confirmed by the presence associated with two pronuclei and two polar bodies. The embryos were washed and cultured in cleavage media G-1 PLUS (Vitrolife, USA) pertaining to two in order to three days. After assessment on day three, the individual embryos had been placed within G-2™ PLUS and OVOIL™ (Vitrolife, USA) in an atmosphere containing 5% O 2 plus 5. 5% CO 2 in 37 °C.

Embryo biopsy was carried out on day time five from the blastocyst stage in all cases, and a single blastomere was withdrawn from each embryo along with laser-assistance [22,23] . The most common PGT-A indications in this study were patients with a history of recurrent miscarriage, repetitive implantation failure, advanced mother’s age, or even male factor infertility. For PGT, we used amplified DNA from euploid embryos from the aforementioned patients, who then went through elective single embryo transfer.

Next-generation sequencing (NGS)

A NGS platform (ReproSeq, Thermo Fisher Scientific) was used to analyze the biopsy samples. Right after using the whole-genome amplification (WGA) process for all individual samples, the particular library preparation consisted of incorporating individual barcodes for the increased DNA of each embryo. Following isothermal amplification and enrichment, sequencing was performed in a 316- or a 318-chip using the Personal Genome Machine (PGM) sequencer (Thermo Fisher Scientific). Ion Reporter software (Thermo Fisher Scientific) was utilized for the sequencing analysis and information interpretation. The particular embryos had been diagnosed since chromosomally regular, abnormal, or even chaotic abnormal. The chaotic embryos were defined like those that displayed a complex pattern associated with aneuploidies involving more than six chromosomes. The mtDNA duplicate number has been detected through the same sample in Igenomix. For the MitoScore calculations, an optimized algorithm had been applied that used the particular output dataset obtained from the PGT evaluation, which was comprised of a mixture of mtDNA reads and nuclear DNA (nDNA) reads. In order to calculate the particular relative mtDNA copy quantity score inside embryos, the number of reads right after filtering had been mapped to the mitochondrial genome and were divided by the number of reads that will mapped to the nuclear genome. This allowed the normalization of each batch, thus reducing variability during NGS experiments (e. g., independent calculations of the number associated with cells obtained in every biopsy).

Statistical analysis

GraphPad Prism (GraphPad Software) was used for statistical analysis. All variables had been presented seeing that the means ± standard error from the mean (SEM). The record significance between two groups was approximated by unpaired two-tailed  t-test. Multiple group comparisons were performed using an one -way analysis of variance with least significant difference test. In all cases,   p < 0. 05 was considered statistically significant.

Patient data was classified into negative and positive pregnancy outcomes. In addition, positive pregnancy outcomes were subclassified into delivery, biochemical pregnancy, and SAb.


MitoScore, BMI, and body fat percentage are significantly correlated with IVF results

The results from MitoScore, BODY MASS INDEX, and entire body fat percentage in the population study with respect to IVF outcomes indicated that in general BMI, body fat percentage plus MitoScore had been significantly lower in patients who had a positive being pregnant test as compared to women along with negative maternity tests (MitoScore: p = 0. 0381, BMI: p = 0. 0494, body fat percentage: g = 0. 0265) (Table 1 ) (Figure one ). The mean values of MitoScore, BMI, and body fat percentage for patients achieving a positive pregnancy test were 25. 92 ± 8. 905, 24. 7 ± 4. 495, and 30. 21 ± 7. 407, respectively (Table 1 ). These findings support the evidence that these variables are inversely correlated with IVF outcomes.

Table 1A
Pregnancy Outcome No of Patients % MitoScore±SEM p-value
Not Pregnant 36 21. 7 29. 11±11. 51 ref
Expecting 130 78. 3 25. 92±8. 905 0. 0381*
SAb 11 6. 63 26. 14±9. 076 0. 3252
BIOCHEM 15 9. 04 27. 36±9. 647 0. 1893
DELIVERED 104 62. seven 25. 74±8. 879 0. 0362*
Total 166 100    
Desk 1B
Pregnancy End result No of Individuals percent BMI±SEM p-value
Not Pregnant thirty six 21. 7 26. 09±4. 366 ref
Expecting 140 78. 3 24. 7±4. 495 0. 0494*
SAb eleven 6. 63 23. 75±5. 349 0. 2462
BIOCHEM fifteen 9. 04 24. 98±5. 531 0. 0546
SHIPPED 104 62. seven 24. 8±4. 278 0. 0613
Complete 166 one hundred    
Table 1C
Pregnancy Result No associated with Sufferers % %Body Fat±SEM p-value
Not really Expectant 36 21. 7 32. 98±7. 999 ref
Pregnant 145 78. a few 30. 21±7. 407 0. 0265*
SAb 11 six. 63 28. 38±7. 536 0. 4019
BIOCHEM 15 9. ’04 32. 31±7. 038 0. 0315*
DELIVERED 104 sixty two. seven thirty. 26±7. 431 0. 0326*
Overall 166 a hundred    
Table 1D
Pregnancy Final result No of Patients percent MitoScore-BMI (p value) MitoScore- Body Fat % (p value)
Not Expectant thirty six twenty one. 7 ref ref
SAb eleven 6. 63 0. 6295 0. 971
BIOCHEM fifteen nine. ’04 0. 0369* 0. 0691
SHIPPED 104 62. seven 0. 4834 0. 6323

Correlation of MitoScore, BMI, and body fat percentage along with subclasses associated with IVF final results

Among MitoScore, BMI, plus unwanted fat proportion, MitoScore appears to be a more potent confounding factor with respect to its inverse correlation with IVF outcomes (Figure 1 ). Relationship between IVF outcomes (negative pregnancy and subclasses of positive pregnancy) and MitoScore, BMI, or body fat percentage showed that will MitoScore was significantly plus positively correlated with BMI in patients with biochemical pregnancy (p = 0. 0369); however , it has been not related in individuals with delivery (p = 0. 629) or those with SAb (p sama dengan 0. 483) (Table 1D ). On the other hand, MitoScore was not found to be significantly correlated with excess fat percentage in any of the subclasses of positive pregnancy (Figure 2 ).

Additionally , we found a significant difference in the mean of extra fat percentage among negative maternity and ongoing pregnancy plus between negative pregnancy and biochemical pregnancy (p < 0. 05) (Figure 2 ). Finally, these results suggest that there is a correlation between MitoScore and BODY MASS INDEX with respect to IVF outcomes, and that it is important to consider subclasses of IVF outcomes while determining the effects of each of these confounding factors (MitoScore, BMI, plus unwanted fat percentage).


Our findings suggest that MitoScore, BMI, and body fat percentage could act as critical parameters within determining the particular success associated with ART. Among MitoScore, BMI, and body fat percentage, MitoScore appears to be a more potent confounding factor with respect in order to its a) inverse correlation with IVF outcome, b) significant relationship with BODY MASS INDEX in one of the subclasses of IVF outcome (biochemical pregnancy), plus c) significantly difference when comparing a negative pregnancy test and subclasses of IVF outcome.

IVF was first successful in 1978 and, since then, over 5 million children have been conceived using this technology. Recently, approximately 1 . 6% births inside the United States resulted from IVF [24] . The growing use associated with IVF presents significant potential and realized costs as well as burdens to families [25] . Furthermore, short term psychological adjustment within unsuccessful cycles is an important health consequence in order to consider [26] . For both the cost and the psychological effects, it will be important to find new ways to determine beforehand if an IVF cycle will be successful. Although there are many variables associated with IVF and its success, the majority of independent studies have focused on studying them separately, which itself could work as a limiting factor. The ability to have multiple factors that can predict IVF outcomes plus understanding their associations with each other can lead to improving the wellness of patients prior in order to ARTs in order to reduce possible burdens and negative connotations with this process.  

Recently, it has been suggested that the assessment of MitoScore can be a novel way to identify embryos along with the highest reproductive capacity to result in live births [14] . According in order to initial studies, increased MitoScore is correlated with aneuploidy and reduced implantation potential [15,19] . Boynukalin et al. reported that live birth rate was considerably higher among cases with a lower MitoScore following frozen single euploid blastocyst transfer [3] . In agreement with our findings, Fragouli et al. and Diez-Juan et ing. have both shown evidence that MitoScore is negatively correlated with IVF outcomes [15,19] . Both studies associated higher MitoScore levels with poorer implantation potential plus reduced metabolic fuel for oocyte maturation.

Embryos along with lower implantation potential and lower trophectoderm quality have a higher MitoScore, probably because of increased mitochondrial biogenesis. According to the association in between trophectoderm quality and MitoScore, it seems that changes in mitochondrial biogenesis possess a negative effect on the proliferative capacity associated with trophoblast plus subsequent implantation [27] . Although stress results in elevating the metabolic output of the embryo as a compensatory mechanism, there is no document of association between perceived stress and increased MitoScore [20] . However , there is the hypothesis that MitoScore can be considered as an indicator of energetic stress in an embryo and therefore can be used with regard to predicting implantation capacity [15] .

In Fragouli ainsi que al. ’s study, the particular aneuploidy embryos showed an elevated MitoScore [19] , whereas Bayram et ‘s. ’s study showed a higher MitoScore inside euploid embryos [14] . According to these contrary results, there is not enough information about the direct organization between embryonic aneuploidy plus elevated MitoScore [14] .

Collazo ou al. demonstrated that although MitoScore is different between embryo qualities, several factors must be considered in order to determine the particular importance associated with MitoScore while a predictor for ART outcome [28] . Conversely, there have got been several other studies which contradict these types of findings and reveal no significant differences, making further exploration of embryo qualities necessary [29-31] . Klimczak et al. reported that will although embryos with a higher MitoScore showed poorer high quality, in an analysis of only euploid embryos, MitoScore does not appear to be related to embryo quality. Also, right now there is zero significant association between MitoScore and implantation or continuing pregnancy [31] . Treff et ing. and Victor et ‘s. have each reported that the difference in MitoScore between implanted blastocysts plus non-implanted blastocysts is insignificant, and also that no association between MitoScore and blastocyst viability is shown [29,30] . It should be mentioned that these contradictory results may be due to the use associated with different methods for evaluating MitoScore. It appears that identification of the best methods regarding evaluating MitoScore as well as the factors that guide to a decreased MitoScore in an embryo at the blastocyst stage are essential [3] .

While MitoScore is relatively brand new and controversial, studies analyzing BMI plus body fat portion on IVF outcomes have been long-established [4,7,8,32] . To support our data, a systematic review and meta-analysis demonstrated that BMI is linked to a lower live-birth rate in women undergoing IVF/ICSI [33] .   In addition, a retrospective cohort research from 2009 to 2015 by Kudesia et al. analyzing 51, 198 individuals studied the impact of BMI upon IVF outcomes. Results exhibited that being overweight or having a higher BMI was related to failed results [7] . Overweight ladies with higher levels associated with fatty acids plus fat hormones had decreased fecundity and impaired IVF outcomes [8-10] .

Thus, the data behind MitoScore, BMI, and entire body fat percentage is strong at the particular moment. Nevertheless , there is usually no current analysis learning the correlation between these three factors. Our study is amongst the first to analyze the organization between MitoScore, BMI, plus excess fat percent with respect to IVF outcomes.

Our own findings recommend that MitoScore, BMI, and body fat percentage can behave as crucial parameters within determining the success of ART. However, the association between MitoScore, BMI, plus extra fat proportion does not appear to be a substantial confounding factor in order to determine being pregnant outcome at this stage. Still, many factors need to be considered to establish the particular correlation reliably. Further analyses of other determinants such as age, infertility diagnosis, and inflammatory markers are underway to establish the significance of MitoScore.  

The study has both strengths and limitations. In the current study, we utilized results from 166 women (130 pregnant and 36 nonpregnant) to determine the role of MitoScore, BMI, plus unwanted fat percentage as confounding factors in IVF end result. The results suggest that MitoScore, BMI, and body fat percentage are usually useful considerations in predicting the achievement of ARTWORK. However, their own association with one another requires stratifications, which include subclasses associated with IVF final results, patient age group, thyroid-stimulating hormone (TSH), anti-Müllerian hormone (AMH), etc . Our findings contribute original proof to the font of knowledge within the effort to improve IVF outcomes. While our own findings have durability, there are furthermore some factors that may impact the power of these observations. One associated with the limitations is that will age has been not considered as a variable in the analysis, because it has been reported that MitoScore is definitely altered in female sufferers with progressing age [19] . While this would not really alter the results, it might provide some possible explanation in order to the results we observed. Another limitation is our focus on IVF result, which is just one measure, since there may be many some other factors that will contribute to maternity viability.


At this time, the use of MitoScore can be still controversial as not all studies possess been able to find a clear link between increased MitoScore plus IVF final results. Our research tried to answer these discrepancies by utilizing multiple variables (such as BODY MASS INDEX and body fat percentage). However, having made some interesting findings, it is certainly critical in order to include more aspects which usually include, but are not limited to, patient age, TSH, AMH, and thyroid antibodies to help predict ART outcomes significantly.

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