Evidence map›Paper›PMID 35362479›Full record

ReviewThe Journal of clinical investigation2022

Next-generation sequencing: insights to advance clinical investigations of the microbiome.

Caroline R Wensel, Jennifer L Pluznick, Steven L Salzberg, Cynthia L Sears

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
254citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

254 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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194 more citing papers are in PubMed but not listed here.

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

4 authors.

Caroline R WenselDepartment of Medicine and.
Jennifer L PluznickDepartment of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Steven L SalzbergDepartment of Biomedical Engineering.
Cynthia L SearsDepartment of Medicine and.

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
Biofilm Epidemiology and Mechanisms in Colon CancerR01CA196845 · NCI · JOHNS HOPKINS UNIVERSITY · PI GIARDIELLO, FRANCIS M, SEARS, CYNTHIA · 2016 to 2020
$4.3M
Computational Methods for Microbial and Microbiome Sequence AnalysisR35GM130151 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Steven L. Salzberg · 2019 to 2026
$2.9M
Short Chain Fatty Acids (SCFAs) and SCFA G-protein Coupled Receptors in HypertensionR56DK107726 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PLUZNICK, JENNIFER L · 2021 to 2021
$100k
Cancer Research UK 27140Cancer Research UK A27140NCI NIH HHS R01 CA196845NHGRI NIH HHS R01 HG006677NIDDK NIH HHS R56 DK107726NIGMS NIH HHS R35 GM130151
6 · The paper itself

Abstract

Next-generation sequencing (NGS) technology has advanced our understanding of the human microbiome by allowing for the discovery and characterization of unculturable microbes with prediction of their function. Key NGS methods include 16S rRNA gene sequencing, shotgun metagenomic sequencing, and RNA sequencing. The choice of which NGS methodology to pursue for a given purpose is often unclear for clinicians and researchers. In this Review, we describe the fundamentals of NGS, with a focus on 16S rRNA and shotgun metagenomic sequencing. We also discuss pros and cons of each methodology as well as important concepts in data variability, study design, and clinical metadata collection. We further present examples of how NGS studies of the human microbiome have advanced our understanding of human disease pathophysiology across diverse clinical contexts, including the development of diagnostics and therapeutics. Finally, we share insights as to how NGS might further be integrated into and advance microbiome research and clinical care in the coming years.

Indexed as

MicrobiotaHigh-Throughput Nucleotide SequencingHumansMetagenomicsRNA, Ribosomal, 16SSequence Analysis, RNARNA, Ribosomal, 16S

Identifiers

PMID35362479
PMCPMC8970668

What OpenQuestion holds

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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.