Evidence map›Paper›PMID 41206605›Full record

ArticleHuman reproduction (Oxford, England)2025

Investigating metabolic activity during oocyte and early embryo development through label-free metabolic imaging: a systematic approach for timelapse applications.

F Horta, A Vuyyuru, H Newman, G Ballerin, S Mercer, E Rolfe, M Haft-Tananian, M Pangestu, P Temple-Smith, B Vollenhoven and 2 more

Abstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

F HortaFertility & Research Centre, Discipline of Women's Health, School of Clinical Medicine and the Royal Hospital for Women, University of New South Wales, Sydney, Australia.ORCID 0000-0003-3212-4924
A VuyyuruFertility & Research Centre, Discipline of Women's Health, School of Clinical Medicine and the Royal Hospital for Women, University of New South Wales, Sydney, Australia.
H NewmanDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
G BallerinMonash Micro Imaging, The Hudson Institute of Medical Research, Melbourne, Australia.
S MercerMonash Micro Imaging, The Hudson Institute of Medical Research, Melbourne, Australia.
E RolfeDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
M Haft-TananianDepartment of Mechanical Aerospace Engineering, Monash University, Melbourne, Australia.
M PangestuDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.ORCID 0000-0001-5623-3995
P Temple-SmithDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
B VollenhovenDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
R B GilchristFertility & Research Centre, Discipline of Women's Health, School of Clinical Medicine and the Royal Hospital for Women, University of New South Wales, Sydney, Australia.ORCID 0000-0003-1611-7142
S CattDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.ORCID 0000-0002-7604-4507

Funding

Ferring PharmaceuticalsFertility Society of Australia and New Zealand
6 · The paper itself

Abstract

study questionIs it possible to assess label-free live cell metabolic imaging during early oocyte and embryo development? SUMMARY ANSWER: Label-free metabolic imaging can be systematically used during early development, showing no differences between controls and illuminated oocytes and embryos in terms of early development, blastocyst formation, and embryo outgrowth. WHAT IS KNOWN ALREADY: Non-invasive methods that are reliable to assess oocyte and embryo quality are a significant aim for ARTs. Changes in metabolic activity could lead to cell death or altered early development and low implantation potential. This could potentially be predicted by incorporating non-invasive measurements of metabolism. Metabolic imaging has been investigated through complex methodologies; however, scientific evidence for its utility during early oocyte and embryo development requires further investigation to assess potential translation in clinical settings. Measurements of metabolic activity could be a useful tool, as the autofluorescence of molecules such as nicotinamide adenine dinucleotide phosphate hydrogen (NAD(P)H) and flavin adenine dinucleotide (FAD) are a straightforward representation of mitochondrial function. STUDY DESIGN, SIZE, DURATION: Female mice (n = 15) and super-ovulated female mice (n = 30) were used to produce oocytes and embryos, respectively. Oocytes and in-vivo produced embryos were divided into the control group, sham control group, and illuminated group. Illuminated samples were assessed for both NAD(P)H and FAD levels in oocytes and NAD(P)H levels during early embryo development every 3 h using arbitrary units of autofluorescence (AU). Produced blastocysts were assessed for total cell and inner-cell-mass (ICM) number (by immunostaining for Oct4) and embryo outgrowth assays. Furthermore, safety live birth studies were also conducted. PARTICIPANTS/MATERIALS, SETTING,

methodsF1 (C57BL6/CBA) mouse strain was used. NAD(P)H and FAD autofluorescence levels were measured during oocyte and embryo development using confocal microscopy (Olympus FV1200). A confocal Z-stacking function was used to record 15 focal planes, using a 20×/0.95 NA air objective of the entire oocytes and embryos and opening the confocal pinhole system completely. Images were then collected and analysed using FIJI software (version: 2.0.0-rc-69/1.52n; ImageJ). Developmental rates, blastocyst cell numbers, outgrowth rates (for 4 days post blastocyst formation), and live birth rates were assessed. MAIN RESULTS AND THE ROLE OF CHANCE: Oocyte IVM and embryo culture experiments showed no significant differences in developmental rates between study groups (P > 0.05). Similarly, the total number of cells from blastocysts (control: 82.9 ± 5.6; sham: 76.5 ± 3.3; Illuminated: 77.1 ± 4.2; ± SEM) and ICM cells (control: 10.8 ± 1.3; sham: 9.4 ± 0.7; Illuminated: 11.9 ± 0.8; ± SEM) did not differ between groups (P > 0.05). Outgrowth assays of the study groups presented similar outgrowth areas during Days 5-8 (post) blastocyst development (P > 0.05). Illumination of oocytes demonstrated a significant increase in metabolic activity during IVM, measured by the optical redox ratio (ORR: FAD/NAD(P)H + FAD; P < 0.001). Illumination of embryos demonstrated significantly different NAD(P)H activity levels during embryo development, particularly between the two-cell stage (987.1 ± 36.2 AU), morula stage (1226.0 ± 31.5 AU) and blastocyst stage (649 ± 42.9 AU; ± SEM; P < 0.05). Additionally, embryos that did not form blastocysts also presented significantly decreased NAD(P)H activity levels at the two-cell stage (normal development: 987.1 ± 36.2; no blastocyst: 726.9 ± 121.7 AU; P < 0.05) to the morula stage (normal development: 1226.0 ± 31.5; no blastocyst: 886.0 ± 150.4 AU; P < 0.05) when compared with normally developing embryos. Our study indicated that metabolic imaging during early oocyte and embryo development presents no negative effects on developmental rates, blastocyst quality, and embryo outgrowths. Subsequently, live birth rates and offspring health showed no differences between controls and illuminated embryos at the blastocyst stage. Current results provide significant useful information about metabolic activity during live cell imaging as a potential method for timelapse metabolic imaging. LARGE SCALE DATA: N/A. LIMITATIONS, REASONS FOR CAUTION: The study was conducted using a mouse model and focused on early oocyte and embryo development, embryo outgrowths, live birth, and early offspring health. Thus, further studies of long-term offspring health are required to fully assess safety and to further validate potential wider applications. Validation in ageing models is also required to assess potential applications for embryo selection. WIDER IMPLICATIONS OF THE

findingsMeasurements of metabolic activity could be applied to determine oocyte and embryo metabolic activity using a variety of microscopy technology with low energy doses as described in this study. Further applications could link the use of metabolic imaging with timelapse technology and artificial intelligence applications to monitor culture conditions. STUDY FUNDING/COMPETING INTEREST(S): This study was funded in part by a research/educational grant from Ferring Pharmaceuticals, awarded from the Fertility Society of Australia and New Zealand (FSANZ). Funding was also provided in part by the Education Program in Reproduction and Development (EPRD), Department of Obstetrics and Gynaecology, Monash University. F.H. and M.H.-T. have applied for a patent in the topic of metabolic imaging. R.B.G. declares speakers' fees from Gedeon Richter and Ferring. The other authors have nothing to declare.

Indexed as

BlastocystEmbryonic DevelopmentOocytesAnimalsFemaleFlavin-Adenine DinucleotideMiceNADPFlavin-Adenine DinucleotideNADPARTearly developmentembryologymetabolic imagingoocytestimelapse-imaging

Identifiers

PMID41206605
PMCPMC12835920

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.