Evidence map›Paper›PMID 33627320›Full record

ArticleJournal of clinical microbiology2021

Detection of Tick-Borne Bacteria from Whole Blood Using 16S Ribosomal RNA Gene PCR Followed by Next-Generation Sequencing.

Kyle G Rodino, Matthew J Wolf, Sarah Sheldon, Luke C Kingry, Jeannine M Petersen, Robin Patel, Bobbi S Pritt

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Spatiotemporal and tissue-specific dynamics of bacterial communities in adult femaleFrontiers in cellular and infection microbiology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Targeted Versus Shotgun Metagenomic Sequencing-based Detection of Microorganisms in Sonicate Fluid for Periprosthetic Joint Infection Diagnosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  7. Article
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

7 authors at 2 institutions in 1 country.

Kyle G RodinoDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9308-4810
Matthew J WolfDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.
Sarah SheldonCenters for Disease Control and Prevention (CDC), Division of Vector-Borne Diseases, Fort Collins, Colorado, USA.
Luke C KingryCenters for Disease Control and Prevention (CDC), Division of Vector-Borne Diseases, Fort Collins, Colorado, USA.ORCID 0000-0002-5724-2575
Jeannine M PetersenCenters for Disease Control and Prevention (CDC), Division of Vector-Borne Diseases, Fort Collins, Colorado, USA.
Robin PatelDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6344-4141
Bobbi S PrittDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA pritt.bobbi@mayo.edu.
Mayo Clinic · USCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reported cases of tick-borne diseases have steadily increased for more than a decade. In the United States, a majority of tick-borne infections are caused by bacteria. Clinical diagnosis may be challenging, as tick-borne diseases can present with similar symptoms. Laboratory diagnosis has historically relied on serologic methods, which have limited utility during the acute phase of disease. Pathogen-specific molecular methods have improved early diagnosis, but can be expensive when bundled together and may miss unexpected or novel pathogens. To address these shortcomings, we developed a 16S rRNA gene PCR with a next-generation sequencing (NGS) approach to detect tick-borne bacteria in whole blood. A workflow was optimized by comparing combinations of two extraction platforms and two primer sets, ultimately pursuing DNA extraction from blood with the MagNA Pure 96 and PCR amplification using dual-priming oligonucleotide primers specific to the V1-V3 region of the 16S rRNA gene. The amplified product underwent modified Illumina 16S metagenomics sequencing library preparation and sequencing on a MiSeq V2 Nano flow cell, with data analysis using Pathogenomix RipSeq NGS software. Results with the developed method were compared to those from a V1-V2 16S rRNA gene primer set described by the Centers for Disease Control and Prevention (CDC). The V1-V3 assay demonstrated equivalent performance to the CDC assay, with each method showing concordance with targeted PCR results in 31 of 32 samples, and detecting 22 of 23 expected organisms. These data demonstrate the potential for using a broad-range bacterial detection approach for diagnosis of tick-borne bacterial infection from blood.

Indexed as

Tick-Borne DiseasesTicksAnimalsBacteriaDNA, BacterialGenes, rRNAHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16Smetagenomicstick-borne pathogens

Identifiers

PMID33627320
PMCPMC8091845
OpenAlexW3130748756

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.