Evidence map›Paper›PMID 36966172›Full record

ArticleScientific reports2023

The abundances of LTF and SOD2 in amniotic fluid are potential biomarkers of gestational age and preterm birth.

Te-Yao Hsu, Hsin-Hsin Cheng, Kuo-Chung Lan, Hsuan-Ning Hung, Yun-Ju Lai, Chih-Chang Tsai, Wen-Lang Fan, Sung-Chou Li

Erratum issuedOpen access · goldFull text read
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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Te-Yao Hsu *Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Hsin-Hsin Cheng *Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Kuo-Chung LanDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Hsuan-Ning HungDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Yun-Ju LaiDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chih-Chang TsaiDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Wen-Lang FanDepartment of Medical Research, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 12th Floor, Children's Hospital, No.123, Dapi Rd, Niaosong District, Kaohsiung, 83301, Taiwan. alangfan@gmail.com.
Sung-Chou LiDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, 4th Floor, No.386, Dazhong 1st Rd, Zuoying District, Kaohsiung, 813414, Taiwan. raymond.pinus@gmail.com.
Chang Gung University · TWJen-Ai Hospital · TWKaohsiung Chang Gung Memorial Hospital · TWKaohsiung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonates who are born preterm (PT) are usually characterized by immature physiological development, and preterm birth (PTB) is the leading cause of neonatal morbidity and mortality if intensive medical care is not available to PTB neonates. Early prediction of a PTB enables medical personnel to make preparations in advance, protecting the neonate from the subsequent health risks. Therefore, many studies have worked on identifying invasive or noninvasive PT biomarkers. In this study, we collected amniocentesis-derived (at the second trimester of gestation) amniotic fluid (AF) samples. At delivery, AF samples were classified into PTB or full-term birth (FTB). We first applied protein mass spectrometry technology to globally screen AF proteins, followed by specific protein validation with ELISA. We identified four protein biomarkers of PTB, including lactotransferrin (LTF), glutathione-disulfide reductase (GSR), myeloperoxidase (MPO) and superoxide dismutase 2 (SOD2). Further analyses demonstrated that their abundances were negatively correlated with neonatal weight and gestational age. In addition, by mimicking survival rate analysis widely used in tumor biology, we found that LTF and SOD2 were prognostic factors of gestational age, with higher levels denoting shorter gestational age. Finally, using the abundances of the four protein biomarkers, we developed a prediction model of PTB with an auROC value of 0.935 (sensitivity = 0.94, specificity = 0.89, p value = 0.0001). This study demonstrated that the abundances of specific proteins in amniotic fluid were not only the prognostic factors of gestational age but also the predictive biomarkers of PTB. These four AF proteins enable identification of PTB early in the second trimester of gestation, facilitating medical intervention to be applied in advance.

Indexed as

Premature BirthAmniotic FluidBiomarkersFemaleGestational AgeHumansInfant, NewbornLactoferrinPregnancySuperoxide Dismutase 2Term BirthBiomarkersLactoferrinLTF protein, humanSuperoxide Dismutase 2

Identifiers

PMID36966172
PMCPMC10039869
OpenAlexW4360949156

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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.