Evidence map›Paper›PMID 37450112›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Detection of Microorganisms in Body Fluid Samples.

Xin Ji, Shoufeng Ni, Geng Tian, Lili Zhang, Weiwei Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Xin JiGenesis, Beijing, China.
Shoufeng NiGenesis, Beijing, China.
Geng TianGenesis, Beijing, China.
Lili ZhangGenesis, Beijing, China.
Weiwei WangGenesis, Beijing, China. wangww@geneis.cn.
Genesis Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has been widely applied to the identification of microbiome in body fluids. The methodology of 16S rRNA amplicon sequencing is simple, fast, and cost-effective. It overcomes the problem that some microorganisms cannot be isolated or cultured. Low abundant bacteria can also be amplified and sequenced, but the resolution of classification can hardly reach species or sub-species level; moreover, this methodology is mainly used to identify bacterial populations, and other microorganisms like viruses or fungi cannot be sequenced. On the other hand, the microbiome profiling obtained by shotgun metagenomic sequencing is more comprehensive with better resolution, and more accurate classification can be expected due to higher coverage of genomic sequences from microorganisms. By combining the capture-based method with metagenomic sequencing, we can further enrich and detect low abundant microorganisms and identify the viral integration sites in host gDNA at once.

Indexed as

Body FluidsMicrobiotaBacteriaHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA ampliconCapture-based enrichmentLiquid biopsyShotgun metagenomicsViral integration

Identifiers

PMID37450112
OpenAlexW4384347184

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.