Evidence map›Paper›PMID 32052892›Full record

ArticleJournal of clinical laboratory analysis2020

Comparison of paired cerebrospinal fluid and serum cell-free mitochondrial and nuclear DNA with copy number and fragment length.

Aolong Chen, Jun Li, Lei Wang, Qin Huang, Jiajin Zhu, Shumeng Wen, Jianxin Lyu, Wenhe Wu

Open access · goldAbstract readComparative Study
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 6 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

8 authors at 2 institutions in 1 country.

Aolong ChenKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Jun LiDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou, China.
Lei WangKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Qin HuangKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Jiajin ZhuKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Shumeng WenKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Jianxin LyuKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Wenhe WuKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0000-0002-9114-5111
Wenzhou Medical University · CNWenzhou City People's Hospital · CN

Funding

National Natural Science Foundation of China 81101148National Natural Science Foundation of China 81670712Wenzhou Science and Technology Planning Project Y20170249Zhejiang Xinmiao Talent Projects 2017R413073
6 · The paper itself

Abstract

backgroundMost studies on cell-free DNA (cfDNA) were only for single body fluids; however, the differences in cfDNA distribution between two body fluids are rarely reported. Hence, in this work, we compared the differences in cfDNA distribution between cerebrospinal fluid (CSF) and serum of patients with brain-related diseases.

methodsThe fragment length of cfDNA was determined by using Agilent 2100 Bioanalyzer. The copy numbers of cell-free mitochondrial DNA (cf-mtDNA) and cell-free nuclear DNA (cf-nDNA) were determined by using real-time quantitative PCR (qPCR) and droplet digital PCR (ddPCR) with three pairs of mitochondrial ND1 and nuclear GAPDH primers, respectively.

resultsThere were short (~60 bp), medium (~167 bp), and long (>250 bp) cfDNA fragment length distributions totally obtained from CSF and serum using Agilent 2100 Bioanalyzer. The results of both qPCR and ddPCR confirmed the existence of these three cfDNA fragment ranges in CSF and serum. According to qPCR, the copy numbers of long cf-mtDNA, medium, and long cf-nDNA in CSF were significantly higher than in paired serum. In CSF, only long cf-mtDNA's copy numbers were higher than long cf-nDNA. But in serum, the copy numbers of medium and long cf-mtDNA were higher than the corresponding cf-nDNA.

conclusionThe cf-nDNA and cf-mtDNA with different fragment lengths differentially distributed in the CSF and serum of patients with brain disorders, which might serve as a biomarker of human brain diseases.

Indexed as

Brain DiseasesBrain Injuries, TraumaticCell-Free Nucleic AcidsCell NucleusCerebral HemorrhageDNA Copy Number VariationsDNA PrimersGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansIntracranial HypertensionMetalsNADH DehydrogenaseReal-Time Polymerase Chain ReactionCell-Free Nucleic AcidsDNA PrimersGAPDH protein, humanGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)MetalsNADH DehydrogenaseNADH dehydrogenase subunit 1, humancell-free mitochondrial DNAcell-free nuclear DNAcerebrospinal fluidcopy numberfragment lengthserum

Identifiers

PMID32052892
PMCPMC7307366
OpenAlexW3005635723

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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.