Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility

被引:7
作者
Wu, Jiao [1 ,2 ,3 ,4 ,8 ]
Liang, Chunmei [6 ,7 ]
Wang, Xin
Huang, Yida [1 ,2 ,3 ,4 ]
Liu, Wanshan [1 ,2 ,3 ,4 ]
Wang, Ruimin [1 ,2 ,3 ,4 ]
Cao, Jing [1 ,2 ,3 ,4 ]
Su, Xun
Yin, Tao
Wang, Xiaolei
Zhang, Zhikang
Shen, Lingchao
Li, Danyang
Zou, Weiwei [5 ,6 ,7 ]
Wu, Ji [9 ]
Qiu, Lihua [1 ,10 ]
Di, Wen [1 ,10 ]
Cao, Yunxia [5 ,6 ,7 ]
Ji, Dongmei [5 ,6 ,7 ]
Qian, Kun [1 ,2 ,3 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Obstet & Gynecol,Shanghai Key Lab Gynecol Onc, Shanghai 200127, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Biomed Engn, State Key Lab Syst Med Canc, Shanghai 200030, Peoples R China
[3] Shanghai Jiao Tong Univ, Inst Med Robot, Shanghai 200030, Peoples R China
[4] Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Div Cardiol, Shanghai 200127, Peoples R China
[5] Anhui Med Univ, Affiliated Hosp 1, Dept Obstet & Gynecol, Hefei 230022, Peoples R China
[6] Anhui Med Univ, NHC Key Lab Study Abnormal Gametes & Reprod Tract, Hefei 230032, Peoples R China
[7] Anhui Med Univ, Key Lab Populat Hlth Life Cycle, Hefei 230032, Peoples R China
[8] Shanghai Jiao Tong Univ, Renji Hosp, Biox Inst, Sch Med,Key Lab Genet Dev & Neuropsychiat Disorder, Shanghai 200240, Peoples R China
[9] Ningxia Med Univ, Key Lab Fertil Preservat & Maintenance, Minist Educ, Yinchuan 750003, Peoples R China
[10] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Obstet & Gynecol, Shanghai 200127, Peoples R China
基金
国家重点研发计划;
关键词
biofluids; biomarkers; diagnostics; mass spectrometry; metabolism; SERUM; POPULATION; PLASMA; URINE;
D O I
10.1002/advs.202302023
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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 (approximate to 30 s), high sensitivity (approximate to 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.
引用
收藏
页数:11
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