Evidence map›Paper›PMID 36625651›Full record

ArticleMicrobiology spectrum2023

Pathogen Detection Using Metagenomic Next-Generation Sequencing of Plasma Samples from Patients with Sepsis in Uganda.

Brian S Grundy, Hardik Parikh, Shevin Jacob, Patrick Banura, Chris C Moore, Jie Liu, Eric R Houpt

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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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

7 authors.

Brian S GrundyDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-2243-3395
Hardik ParikhDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Shevin JacobLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Patrick BanuraMinistry of Health, National Disease Control Department, Kampala, Uganda.
Chris C MooreDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Jie LiuSchool of Public Health, Qingdao University, Qingdao, China.ORCID 0000-0003-2658-5249
Eric R HouptDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-1085-1354

Funding

INFECTIOUS DISEASES TRAINING PROGRAMT32AI007046 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Alison K Criss, William A Petri · 1985 to 2026
$15.3M
Molecular Diagnostic Tools for Patient Oriented Field Studies in Infectious DiseasesK24AI102972 · NIAID · UNIVERSITY OF VIRGINIA · PI HOUPT, ERIC R · 2013 to 2022
$1.5M
NIAID NIH HHS K24 AI102972NIAID NIH HHS T32 AI007046
6 · The paper itself

Abstract

Metagenomic sequencing is a promising new method for pathogen detection. We aimed to detect pathogens from archived plasma using metagenomic sequencing in a previously well-characterized cohort of 254 predominantly HIV-infected patients with sepsis in Uganda. We used Illumina sequencing and the Chan Zuckerberg ID metagenomics platform to sequence and identify pathogens. On average, each plasma sample yielded 3,404,737 ± 2,201,997 reads (mean ± standard deviation), of which 220,032 ± 416,691 (6.3% ± 8.6%) were identified as nonhuman reads. Using a background model filter, 414 genus-specific pathogen identifications were found in the 254 samples. Nineteen pathogens were previously detected positive by quantitative PCR (qPCR), compared to sequencing, which demonstrated 30.2% sensitivity and 99.5% specificity. Sensitivity was higher for viral pathogens than nonviral pathogens (37% versus 5%). For example, HIV viremia was detected in 69% of samples using qPCR, and sequencing revealed 70% sensitivity and 92% specificity. There were 75 genus-specific potential pathogens identified by sequencing in this cohort, including hepatitis B and Epstein-Barr virus (EBV), among several others. qPCR showed a prevalence of hepatitis B and EBV viremia of 17% and 45%, respectively. In-hospital mortality was associated with a lower qPCR threshold cycle value for EBV (adjusted odds ratio, 0.85;

Indexed as

Epstein-Barr Virus InfectionsHepatitis BHIV InfectionsHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansMetagenomicsUgandaViremiahuman immunodeficiency virusmetagenomicssepsissub-Saharan Africa

Identifiers

PMID36625651
PMCPMC9927450

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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.