Evidence map›Paper›PMID 42367990›Full record

ArticlebioRxiv : the preprint server for biology2026

Rapid Identification of Infections Directly from Isolates and Clinical Specimens with the MasSpec Pen Technology.

Manoj Kushwaha, Faith E Jackobs, Jacob I Mardick, Coreen L Johnson, Sarah Bench, Ashley E Montgomery, James J Dunn, Rachel D Downey, Sarmistha B Hauger, Janne Heirman and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

13 authors.

Manoj KushwahaBaylor College of Medicine, Department of Surgery, Houston, TX, USA.ORCID 0000-0003-3133-5762
Faith E JackobsBaylor College of Medicine, Department of Surgery, Houston, TX, USA.
Jacob I MardickBaylor College of Medicine, Department of Surgery, Houston, TX, USA.
Coreen L JohnsonTexas Children's Hospital, Department of Pathology, Houston, TX, USA.
Sarah BenchBaylor College of Medicine, Department of Surgery, Houston, TX, USA.
Ashley E MontgomeryBaylor College of Medicine, Department of Surgery, Houston, TX, USA.
James J DunnTexas Children's Hospital, Department of Pathology, Houston, TX, USA.
Rachel D DowneyDell Children's Medical Center, Division of Pediatric Infectious Diseases, Austin, TX, USA.
Sarmistha B HaugerDell Children's Medical Center, Division of Pediatric Infectious Diseases, Austin, TX, USA.
Janne HeirmanUniversity of Antwerp, Antwerp, Belgium.
Wout BittremieuxUniversity of Antwerp, Antwerp, Belgium.
Lindsey M KirkpatrickRiley Hospital for Children - IU Health, Department of Pediatric Infectious Diseases, Indianapolis, IN, USA.
Livia S EberlinBaylor College of Medicine, Department of Surgery, Houston, TX, USA.ORCID 0000-0002-3885-3215

Funding

The Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination Center (IU-OSU MPRINT DMKRCC)P30HD106451 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI Lang Li · 2021 to 2026
$24.1M
Indiana Pediatric Scientist Award (IPSA)K12HD111057 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI David W Clapp, Carmella Evans-Molina · 2023 to 2026
$1.3M
Development of the MasSpec Pen Technology for Rapid and Accurate Identification of Pediatric InfectionsR21HD106614 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI SCHIAVINATO EBERLIN, LIVIA · 2021 to 2022
$454k
NICHD NIH HHS K12 HD111057NICHD NIH HHS P30 HD106451NICHD NIH HHS R21 HD106614
6 · The paper itself

Abstract

The time-consuming nature of conventional bacterial identification methods, coupled with rising resistance to antibiotics, presents a serious challenge in the rapid diagnosis and treatment of patients suffering from severe infection and sepsis. In this study, we demonstrate that the MasSpec Pen (MSPen) technology enables rapid identification of the most frequently occurring bacterial species in human infections. A total of 755 clinical bacterial isolates prospectively collected from pediatric and adult patients were analyzed using the MSPen to create a library of molecular profiles. The mass spectra obtained presented distinct molecular patterns for bacterial species, with high relative abundances of bacterial metabolites and lipids, including unique quinolone signaling molecules in

Indexed as

direct identification of bacterial metabolites and lipidsenabling accurate bacterial classificationMSPen shows potential for rapid

Identifiers

PMID42367990
PMCPMC13308012

What OpenQuestion holds

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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.