Evidence map›Paper›PMID 32398082›Full record

ArticleReproductive biology and endocrinology : RB&E2020

Study on follicular fluid metabolomics components at different ages based on lipid metabolism.

Xingxing Zhang, Tianqi Wang, Jingyan Song, Jifeng Deng, Zhengao Sun

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% of its field
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Xingxing ZhangMaternity and Child Health Care of ZaoZhuang, ZaoZhuang, 277100, Shandong, China.
Tianqi WangTraditional Chinese Medicine History and Literature, Institute for Literature and Culture of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Jingyan SongDepartment of Gynecology and Obstetrics of Traditional Chinese Medicine, The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jifeng DengSchool of Bioscience & Bioengineering, South China University of Technology, Guangzhou, 510640, China.
Zhengao SunReproductive and Genetic Center of Integrated Traditional and Western Medicine, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China. sunzhengao77@126.com.ORCID http://orcid.org/0000-0002-9723-1213
Shandong University of Traditional Chinese Medicine · CNBioscience (China) · CNZaozhuang Municipal Hospital · CN

Funding

National Natural Science Foundation of China 81373676National Natural Science Foundation of China 81674018
6 · The paper itself

Abstract

backgroundFollicular fluid is an important external environment for the growth and development of oocytes. A thorough identification of specific components in follicular fluid can better the existing understand of intracellular signal transduction and reveal potential biomarkers of oocyte health in women undergoing assisted reproductive therapy. To study on follicular fluid metabolomics components at different ages based on lipid metabolism, we have adopted a new method of SWATH to MRM(the sequential window acquisition of all theoretical fragment-ion spectra to multiple reaction monitor)metabolomics to provide extensive coverage and excellent quantitative data. This was done to investigate the differences in follicular fluid of patients undergoing in vitro fertilization (IVF) and embryo transfer in different age groups and to further explore the relationship between follicular fluid, age and reproductive function.

methodA combination of Ultra-high-performance liquid chromatography and high resolution mass spectrometry techniques were used to analyze the follicular fluid of 230 patients enrolled for the IVF cycle. The patients were of different ages grouped into two groups:the younger and older patients.The obtained multidimensional chromatographic data were processed by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The charge ratios and mass numbers enabled for the identification of different fragments in the samples. Matching information obtained through database search and the fragment information obtained by fragment ion scan structurally identified substances in the samples. This was used to determine the differential compounds.

resultsThe quality of oocytes decline with age,and the lipid composition in follicular fluid also changes,The lipid metabolism that changes with age may be related to the quality of oocytes.The main differences were in lipid metabolites. Some were up-regulated: Arachidonate, LysoPC(16:1), LysoPC(20:4) and LysoPC(20:3) while others were down-regulated: LysoPC(18:3) and LysoPC(18:1).

conclusionsMetabolomic analysis of follicular fluid revealed that with the increase in age, several differential metabolites are at play. Among these metabolites, lipid metabolism undergoes significant changes that affect the development of oocytes thus causing reduced fertility in older women. These differential metabolites related to follicular development may provide possible detection and treatment targets for promoting oocyte health, and provide scientific basis for understanding the environment of oocyte development.

Indexed as

MetabolomicsAdultAge FactorsBiomarkersChromatography, High Pressure LiquidFemaleFertilization in VitroFollicular FluidHumansLipid MetabolismMass SpectrometryOocytesBiomarkersAgeFollicular fluidLipid metabolismMetabolomicsOocytes

Identifiers

PMID32398082
PMCPMC7216654
OpenAlexW3025743505

What OpenQuestion 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 OpenQuestion graph.