Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility.
Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility.
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DOI:
10.1002/advs.202302023
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发表时间:
2023-08
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影响因子:
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Ovarian reserve (OR) and fertility are critical in women's healthcare. Clinical methods for encoding OR and fertility rely on the combination of tests, which cannot serve as a multi‐functional platform with limited information from specific biofluids. Herein, metabolic fingerprinting of follicular fluid (MFFF) from follicles is performed, using particle‐assisted laser desorption/ionization mass spectrometry (PALDI‐MS) to encode OR and fertility. PALDI‐MS allows efficient MFFF, showing fast speed (≈30 s), high sensitivity (≈60 fmol), and desirable reproducibility (coefficients of variation <15%). Further, machine learning of MFFF is applied to diagnose diminished OR (area under the curve of 0.929) and identify high‐quality oocytes/embryos (p < 0.05) by a single PALDI‐MS test. Meanwhile, metabolic biomarkers from MFFF are identified, which also determine oocyte/embryo quality (p < 0.05) from the sampling follicles toward fertility prediction in clinics. This approach offers a powerful platform in women's healthcare, not limited to OR and fertility. This work develops a platform to encode ovarian reserve (OR) and fertility through machine learning of metabolic fingerprinting of follicular fluid (MFFF), using particle‐assisted laser desorption/ionization mass spectrometry (PALDI‐MS). Such MFFF may help to diagnose diminished OR and identify high‐quality oocytes/embryos (p < 0.05) by a single PALDI‐MS test. This work would advance the metabolic analysis of gynecological diseases.
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DOI:
10.1073/pnas.2122245119
发表时间:
2022-03-22
影响因子:
11.1
作者:
Huang Y;Du S;Liu J;Huang W;Liu W;Zhang M;Li N;Wang R;Wu J;Chen W;Jiang M;Zhou T;Cao J;Yang J;Huang L;Gu A;Niu J;Cao Y;Zong WX;Wang X;Liu J;Qian K;Wang H
通讯作者:
Wang H
影响因子:
6.1
作者:
de la Barca, J. M. Chao;Boueilh, T.;May-Panloup, P.
通讯作者:
May-Panloup, P.
影响因子:
7.4
作者:
Cao, Jing;Wang, Yuning;Qian, Kun
通讯作者:
Qian, Kun
影响因子:
6.7
作者:
Devine K;Mumford SL;Wu M;DeCherney AH;Hill MJ;Propst A
通讯作者:
Propst A
影响因子:
6.6
作者:
通讯作者:
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