Evidence map›Paper›PMID 32508882›Full record

ArticleFrontiers in genetics2020

Prenatal Diagnosis of Glutaric Acidemia I Based on Amniotic Fluid Samples in 42 Families Using Genetic and Biochemical Approaches.

Bing Xiao, Wenjuan Qiu, Jun Ye, Huiwen Zhang, Hong Zhu, Lei Wang, Lili Liang, Feng Xu, Ting Chen, Yan Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Glutaryl-CoA Dehydrogenase Misfolding in Glutaric Acidemia Type 1.International journal of molecular sciences · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Review
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

13 authors at 2 institutions in 1 country.

Bing XiaoDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wenjuan QiuDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jun YeDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Huiwen ZhangDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Hong ZhuCenter for Prenatal Diagnosis, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Lei WangCenter for Prenatal Diagnosis, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Lili LiangDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Feng XuDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Ting ChenDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yan XuDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yongguo YuDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Xuefan GuDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Lianshu HanDepartment of Pediatric Endocrinology and Genetic Metabolism, Institute of Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
XinHua Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct mutation analysis is the major method for glutaric acidemia I (GA-I) prenatal diagnosis, while systemic application of a biochemical strategy is rare. We describe our experiences with metabolite measurement together with mutation analysis in GA-I prenatal diagnosis at a single center over 10 years. The data of genetic analysis and metabolite measurement using gas chromatography/mass spectrometry(GC/MS) and tandem mass spectrometry(MS/MS) in amniotic fluid samples of 44 fetuses from 42 GA-I families referred to our center from 2009 to 2019 were retrospectively analyzed. Among these 44 fetuses, genetic and biochemical results were both available in 39 fetuses. Of these, 6 fetuses were judged as affected and 33 fetuses as unaffected by mutation analysis. The levels of glutarylcarnitine (C5DC), C5DC/octanoylcarnitine (C8), and glutaric acid in the supernatant of amniotic fluid from affected fetuses were significantly higher than those in unaffected fetuses [1.73μmol/L (0.89-4.19) vs. 0.16μmol/L (0.06-0.37), 26.26 (12.4-55.55) vs. 2.23 (1.04-8.44), and 103.94 mmol/mol creatinine (30.37-148.31) vs. 1.01mmol/mol creatinine (0-9.81), respectively; all

Indexed as

glutaric acidglutaric acidemia Iglutarylcarnitinemass spectrometryprenatal diagnosis

Identifiers

PMID32508882
PMCPMC7251148
OpenAlexW3027972816

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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.