Evidence map›Paper›PMID 31804000›Full record

ArticleJournal of clinical laboratory analysis2020

Lipidomic profiling of amniotic fluid and its application in fetal lung maturity prediction.

Zheng Cao, Jingrui Liu, Xin Xie, Sien Zhan, Wei Song, Shaowen Wu, Zheng Sun, Ying Dong, Guodong Tang, Yilin Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Zheng CaoDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-0968-1864
Jingrui LiuDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xin XieDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Sien ZhanDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Wei SongDepartment of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Shaowen WuDepartment of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Zheng SunOperating Room, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Ying DongDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Guodong TangDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yilin LiuBeijing Omics Bio-tech Co., Ltd, Beijing, China.
Lin LiCentral Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-3597-3350
Min ShenReference Laboratory, Medical System Biotechnology Co., Ltd, Ningbo, China.ORCID https://orcid.org/0000-0001-9050-3768
Yanhong ZhaiDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Jihua ZouReference Laboratory, Medical System Biotechnology Co., Ltd, Ningbo, China.
Xiaowei LiuDepartment of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Biocytogen (China) · CN

Funding

Beijing Municipal Science & Technology Commission Z161100000516073
6 · The paper itself

Abstract

backgroundThe pulmonary surfactant especially lipids in amniotic fluid can reflect the development stage of fetal lung maturity (FLM). However, the conventional lecithin/sphingomyelin (L/S) ratio method by thin layer chromatography (TLC) is insufficient and inconvenient for FLM prediction in clinical practice.

methodsThe amniotic fluid samples were collected from the pregnant women in labor or undergoing amniocentesis and analyzed for its lipid contents with the liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) method and the lamellar body count (LBC) method. To reveal the lipidomic profiling of different FLM stages, three groups of amniotic fluid samples including 8 from premature group (gestational week (GW) < 37), 10 from mature group (GW < 37), and 10 from mature group (GW > 38) were compared with the control group (n = 6) of 18 GWs separately.

resultsIn the FLM prediction study, the sensitivity of the LC-HRMS method and LBC method was 91% and 73%, respectively; the specificity was 100% and 95%, respectively. The most significant metabolic pathway was linoleic acid metabolism between the premature group and the control group. Both glycerophospholipid metabolism and glycosylphosphatidylinositol-anchor biosynthesis were enriched in the mature groups. In search of potential FLM prediction markers in amniotic fluid, 8 phosphatidylcholines, 1 sphingomyelin, and 1 phosphatidylethanolamine were significantly increased in the mature groups compared with the premature group.

conclusionAn efficient LC-HRMS method for L/S ratio in predicting FLM was established. The linoleic acid metabolism may play an important role in the fetal lung development.

Indexed as

AmniocentesisAmniotic FluidBiomarkersChromatography, LiquidFemaleFetal Organ MaturityHumansLecithinsLipid MetabolismLipidomicsLungMass SpectrometryPregnancyReproducibility of ResultsSphingomyelinsBiomarkersLecithinsSphingomyelinsamniotic fluidFLMLC-HRMSlipidomicsL/S ratio

Identifiers

PMID31804000
PMCPMC7171342
OpenAlexW2992827117

What OpenQuestion holds

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Registered trials

None linked

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.