Evidence map›Paper›PMID 41650123›Full record

ArticlePloS one2026

Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients.

Congzhou M Sha, Michail Patsakis, Ioannis Mouratidis, Xiaoyuan Wei, Taejung Chung, Jasna Kovac, Ilias Georgakopoulos-Soares

Abstract read
In one paragraph

Article in PloS one, 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

7 authors.

Congzhou M ShaDepartment of Molecular and Precision Medicine, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America.ORCID https://orcid.org/0000-0001-5301-9459
Michail PatsakisDepartment of Molecular and Precision Medicine, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America.
Ioannis MouratidisDepartment of Molecular and Precision Medicine, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America.
Xiaoyuan WeiHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Taejung ChungHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Jasna KovacHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Ilias Georgakopoulos-SoaresDepartment of Molecular and Precision Medicine, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America.ORCID https://orcid.org/0000-0003-3641-1488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening state of disseminated infection, and treatment requires knowledge of the organism responsible. The gold standard for sepsis diagnosis is blood culture, which requires days of growth. Next-generation sequencing has been proposed as an alternative; however, existing methods may lack sensitivity. In this work, we explore the idea of genomic quasi-G-primes, which are short DNA sequences specific to a single species within a group of relevant species. We first validated the genomic quasi-G-prime classification in controlled Staphylococcus aureus sequencing experiments, and then applied the same approach to blood-derived sequencing data from septic and healthy patients, where genomic quasi-G-prime profiles distinguished disease states. Our method is highly space-efficient, permitting fast classification on modest hardware and enabling it to outperform existing taxonomic classification approaches in this task.

Indexed as

Genome, BacterialGenomicsSepsisStaphylococcus aureusDNA, BacterialHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAStaphylococcal InfectionsDNA, Bacterial

Identifiers

PMID41650123
PMCPMC12880686

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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.