Evidence map›Paper›PMID 41697057›Full record

ArticleShock (Augusta, Ga.)2026

RNA Sequencing of Sepsis Patients Informs Tests to Quickly Diagnose Pathogens and Resistance.

Sean F Monaghan, Jaewook Shin, Brandon E Armstead, Alfred Ayala, Maya Cohen, William G Fairbrother, Mitchell M Levy, Kwesi K Lillard, Emanuele Raggi, Gerard J Nau and 1 more

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2026. 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
–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

0 citing papers in PubMed.

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

11 authors.

Sean F MonaghanDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Jaewook ShinDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Brandon E ArmsteadDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Alfred AyalaDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Maya CohenDivision of Pulmonary and Critical Care, Department of Medicine, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
William G FairbrotherMolecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island.
Mitchell M LevyDivision of Pulmonary and Critical Care, Department of Medicine, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Kwesi K LillardDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Emanuele RaggiDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Gerard J NauDivision of Infectious Disease, Department of Medicine, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.
Alger M FredericksDepartment of Surgery, Alpert Medical School of Brown University and Rhode Island Hospital, Providence, Rhode Island.

Funding

Discovering Splicing Defects in Human GenesR01GM127472 · NIGMS · BROWN UNIVERSITY · PI William G Fairbrother · 2018 to 2026
$5.9M
Improving Sepsis Care with Deep RNA Sequencing DataR35GM142638 · NIGMS · RHODE ISLAND HOSPITAL · PI Sean Farrell Monaghan · 2021 to 2026
$2.6M
NIGMS NIH HHS R01 GM127472NIGMS NIH HHS R35 GM142638
6 · The paper itself

Abstract

objectiveDiagnosis of infection in patients with sepsis takes days via culture, and appropriate treatment of pathogens is delayed awaiting results. We hypothesize that we can use RNA sequencing from patients with sepsis to identify novel targets for faster nucleic acid-based tests.

methodsCohort study of sepsis patients admitted to the intensive care unit with RNA sequencing was done after obtaining the consent. RNA sequencing data that did not map to the human genome were then aligned to resistance genes and pathogen genomes and used to design novel polymerase chain reaction (PCR) tests. These tests were correlated with blood culture diagnosis and clinical outcomes.

resultsForty-six patients were enrolled, and samples from 87 time points were collected. These samples resulted in 8.6 billion RNA sequencing reads to identify pathogen RNA. PCR target discovery focused on positive blood cultures (n = 40 total) due to Escherichia coli (five samples), Staphylococcus aureus (six samples), and Pseudomonas aeruginosa (three samples) as well as identification of resistance genes. From RNA sequencing reads, 40 targets were defined and tested by quantitative PCR. In a cohort of patients (9 of 46) with available samples, some of the proposed PCRs identified all cases of positive blood cultures ( P. aeruginosa and S. aureus ); E. coli had no positive blood cultures in this cohort.

conclusionsRNA sequencing from patients with sepsis can identify RNA from pathogens causing the infection. This is used to design PCR primers that identify patients with positive blood cultures. Translation of these primers to clinical microbiology machines will allow the diagnosis faster than blood culture.

Indexed as

SepsisSequence Analysis, RNAAgedCohort StudiesEscherichia coliFemaleHumansMaleMiddle AgedPolymerase Chain ReactionPseudomonas aeruginosaStaphylococcus aureusDiagnostic testRNA based PCRsepsis

Identifiers

PMID41697057
PMCPMC12952483

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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.