Evidence map›Paper›PMID 32709677›Full record

ArticleMolecular & cellular proteomics : MCP2020

Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia.

Khyatiben V Pathak, Marissa I McGilvrey, Charles K Hu, Krystine Garcia-Mansfield, Karen Lewandoski, Zahra Eftekhari, Yate-Ching Yuan, Frederic Zenhausern, Emmanuel Menashi, Patrick Pirrotte

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. PulmonaryAmerican journal of respiratory and critical care medicine · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. 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

10 authors at 3 institutions in 1 country.

Khyatiben V PathakCollaborative Center for Translatinal Mass Spectrometry, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Marissa I McGilvreyCollaborative Center for Translatinal Mass Spectrometry, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Charles K HuHonorHealth Clinical Research Institute, Scottsdale, Arizona, USA.
Krystine Garcia-MansfieldCollaborative Center for Translatinal Mass Spectrometry, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Karen LewandoskiTranslational Genomics Research Institute, Phoenix, Arizona, USA.
Zahra EftekhariApplied AI and Data Science, City of Hope Medical Center, Duarte, California, USA.
Yate-Ching YuanCenter for Informatics, City of Hope Medical Center, Duarte, California, USA.
Frederic ZenhausernTranslational Genomics Research Institute, Phoenix, Arizona, USA; HonorHealth Clinical Research Institute, Scottsdale, Arizona, USA; Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona, USA.
Emmanuel MenashiHonorHealth Clinical Research Institute, Scottsdale, Arizona, USA.
Patrick PirrotteCollaborative Center for Translatinal Mass Spectrometry, Translational Genomics Research Institute, Phoenix, Arizona, USA. Electronic address: ppirrotte@tgen.org.
Translational Genomics Research Institute · USCity Of Hope National Medical Center · USClinical Research Institute · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

Ventilator-associated pneumonia (VAP) is a common hospital-acquired infection, leading to high morbidity and mortality. Currently, bronchoalveolar lavage (BAL) is used in hospitals for VAP diagnosis and guiding treatment options. Although BAL collection procedures are invasive, alternatives such as endotracheal aspirates (ETA) may be of diagnostic value, however, their use has not been thoroughly explored. Longitudinal ETA and BAL were collected from 16 intubated patients up to 15 days, of which 11 developed VAP. We conducted a comprehensive LC-MS/MS based proteome and metabolome characterization of longitudinal ETA and BAL to detect host and pathogen responses to VAP infection. We discovered a diverse ETA proteome of the upper airways reflective of a rich and dynamic host-microbe interface. Prior to VAP diagnosis by microbial cultures from BAL, patient ETA presented characteristic signatures of reactive oxygen species and neutrophil degranulation, indicative of neutrophil mediated pathogen processing as a key host response to the VAP infection. Along with an increase in amino acids, this is suggestive of extracellular membrane degradation resulting from proteolytic activity of neutrophil proteases. The metaproteome approach successfully allowed simultaneous detection of pathogen peptides in patients' ETA, which may have potential use in diagnosis. Our findings suggest that ETA may facilitate early mechanistic insights into host-pathogen interactions associated with VAP infection and therefore provide its diagnosis and treatment.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overAmino Acid SequenceBronchoalveolar Lavage FluidCohort StudiesFemaleGene Expression RegulationHumansImmunity, InnateIntubation, IntratrachealMaleMetabolomicsMiddle AgedNeutrophilsPeptidesProteomeclinical proteomicsendotracheal aspiratehost-pathogen interactionimmunologyinfectious diseasemetabolomemetabolomicsneutrophil degranulationproteomeventilator-associated pneumonia

Identifiers

PMID32709677
PMCPMC8014993
OpenAlexW3045233978

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.