Evidence map›Paper›PMID 27534852›Full record

ArticleBMC neurology2016

New multiplex real-time PCR approach to detect gene mutations for spinal muscular atrophy.

Zhidai Liu, Penghui Zhang, Xiaoyan He, Shan Liu, Shi Tang, Rong Zhang, Xinbin Wang, Junjie Tan, Bin Peng, Li Jiang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2016. 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
1.0field-weighted citation impact, top 22% 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, 17 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

12 authors at 3 institutions in 1 country.

Zhidai LiuCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Penghui ZhangCenter for Clinical Laboratory, Children's Hospital, Chongqing Medical University, Yuzhong District, Chongqing, China.
Xiaoyan HeCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Shan LiuCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Shi TangCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Rong ZhangCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Xinbin WangCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Junjie TanCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China.
Bin PengDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Yuzhong District, Chongqing, China.
Li JiangDepartment of Neurology, Children's Hospital, Chongqing Medical University, Yuzhong District, Chongqing, China.
Siqi HongDepartment of Neurology, Children's Hospital, Chongqing Medical University, Yuzhong District, Chongqing, China.
Lin ZouCenter for Clinical Molecular Medicine, Children's Hospital, Chongqing Medical University, 136 Zhongshan Er Road, Yuzhong District, Chongqing, 400014, China. 2660622115@qq.com.
Chongqing Medical University · CNChildren's Hospital of Chongqing Medical University · CNChongqing Public Health Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal muscular atrophy (SMA) is the most common autosomal recessive disease in children, and the diagnosis is complicated and difficult, especially at early stage. Early diagnosis of SMA is able to improve the outcome of SMA patients. In our study, Real-time PCR was developed to measure the gene mutation or deletion of key genes for SMA and to further analyse genotype-phenotype correlation.

methodsThe multiple real-time PCR for detecting the mutations of survival of motor neuron (SMN), apoptosis inhibitory protein (NAIP) and general transcription factor IIH, polypeptide 2 gene (GTF2H2) was established and confirmed by DNA sequencing and multiplex ligation-dependent probe amplification (MLPA). The diagnosis and prognosis of 141 hospitalized children, 100 normal children and further 2000 cases of dry blood spot (DBS) samples were analysed by this multiple real-time PCR.

resultsThe multiple real-time PCR was established and the accuracy of it to detect the mutations of SMN, NAIP and GTF2H2 was at least 98.8 % comparing with DNA sequencing and MLPA. Among 141 limb movement disorders children, 75 cases were SMA. 71 cases of SMA (94.67 %) were with SMN c.840 mutation, 9 cases (12 %) with NAIP deletion and 3 cases (4 %) with GTF2H2 deletion. The multiple real-time PCR was able to diagnose and predict the prognosis of SMA patients. Simultaneously, the real-time PCR was applied to detect trace DNA from DBS and able to make an early diagnosis of SMA.

conclusionThe clinical and molecular characteristics of SMA in Southwest of China were presented. Our work provides a novel way for detecting SMA in children by using real-time PCR and the potential usage in newborn screening for early diagnosis of SMA.

Indexed as

ChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMuscular Atrophy, SpinalNeonatal ScreeningNerve Tissue ProteinsNeuronal Apoptosis-Inhibitory ProteinReal-Time Polymerase Chain ReactionSurvival of Motor Neuron 1 ProteinTranscription FactorsNAIP protein, humanNerve Tissue ProteinsNeuronal Apoptosis-Inhibitory ProteinSurvival of Motor Neuron 1 ProteinTranscription FactorsMultiplex real-time PCRNewborn screeningSpinal muscular atrophy

Identifiers

PMID27534852
PMCPMC4989483
OpenAlexW2511213931

What OpenQuestion holds

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LicenceCC BY
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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.