Metabolic imaging of human cumulus cells reveals associations among metabolic profiles of cumulus cells, patient clinical factors, and oocyte maturity.
Metabolic imaging of human cumulus cells reveals associations among metabolic profiles of cumulus cells, patient clinical factors, and oocyte maturity.
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DOI:
10.1016/j.fertnstert.2021.07.1204
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发表时间:
2021-12
影响因子:
6.7
通讯作者:
Needleman DJ
中科院分区:
文献类型:
--
作者:
Venturas M;Yang X;Kumar K;Wells D;Racowsky C;Needleman DJ
To study whether fluorescence lifetime imaging microscopy (FLIM) detects differences in metabolic state among cumulus. cell samples and if this metabolic state is associated with patient age, BMI and/or AMH, and maturity of the oocyte. Prospective observational study. Academic laboratory. Cumulus cell (CC) clusters from cumulus-oocyte complexes were collected after oocyte retrieval and vitrified. CC metabolism was assessed using FLIM to measure autofluorescence of NAD(P)H and FAD+, endogenous coenzymes essential for cellular respiration and glycolysis. Patient age, BMI, and AMH, and the maturity of corresponding oocytes were recorded. Quantitative information from FLIM was obtained regarding: metabolite concentrations from fluorescence intensity; and metabolite enzyme engagement from fluorescence lifetimes. Associations were investigated between each FLIM parameter and oocyte maturity, patient age, BMI and AMH level. Variance between CC clusters within and between patients. Of 619 CC clusters from 193 patients, 90 were associated with immature oocytes, 505 with metaphase II oocytes. FLIM enabled quantitative measurements of metabolic state of CC clusters. These parameters were significantly correlated with patient age and AMH, independently, but not BMI. CC NAD(P)H FLIM parameters and Redox Ratio were significantly associated with maturity of the enclosed oocyte. FLIM detects variations in metabolic state of CC, showing a greater variance among clusters from each patient than between patients. FLIM can detect CC metabolic associations with patient age and AMH and detects variations between mature and immature oocytes, suggesting the potential utility of this technique to help identify superior oocytes. Metabolic imaging using fluorescence lifetime imaging microscopy (FLIM) sensitively detects variations in metabolic state of human cumulus cells. These variations are associated with maturity of the enclosed oocyte and patient clinical factors.
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