| Title |
Ovarian environment aging: follicular fluid lipidomic and related metabolic pathways
|
|---|---|
| Published in |
Journal of Assisted Reproduction and Genetics, July 2018
|
| DOI | 10.1007/s10815-018-1259-5 |
| Pubmed ID | |
| Authors |
Fernanda Bertuccez Cordeiro, Daniela Antunes Montani, Eduardo Jorge Pilau, Fábio Cesar Gozzo, Renato Fraietta, Edson Guimaraes Lo Turco |
| Abstract |
The decline in female fecundity with age may be caused by decreased oocyte quality, a factor that may be associated with the altered composition of follicular fluid (FF). In an effort to better understand follicular aging and the role of lipids in a given biological system, we present a prospective study that compares lipid profiles of FF from women older than 35 years (aging group, n = 12) to women equal or younger than 35 years old (control group, n = 17). FF lipids were extracted, and mass spectra were generated using a Waters Synapt G1 Q-TOF in MS mode. MS data was evaluated for both multi- and univariate statistics. The lipids identified as potential biomarkers of follicle aging were attributed by the online databases Lipid Maps, followed by pathway network analysis using Cytoscape software. The in vitro fertilization (IVF) parameters showed significant differences in aging, number of follicles, total number of oocytes and oocytes in MII, and number of injected oocytes. Additionally, FF from the aging group revealed 11 lipids with higher abundance, while FF from the control group included 4 lipids with higher abundance. We suspect that aging may influence lipid metabolism in a downstream cascade leading, ultimately, to decreased oocyte quality. The discovery of target lipids may assist oocyte selection for IVF in the future. Furthermore, systems biology approach based on post-genomic medicine may help unravel a number of altered mechanisms not previously understood. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 20% |
| Student > Doctoral Student | 5 | 13% |
| Researcher | 4 | 10% |
| Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Medicine and Dentistry | 6 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2018.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Journal of Assisted Reproduction and Genetics
#1,199
of 1,697 outputs
Outputs of similar age
#256,233
of 330,528 outputs
Outputs of similar age from Journal of Assisted Reproduction and Genetics
#25
of 41 outputs
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