Evidence map›Paper›PMID 39389064›Full record

ArticleCell chemical biology2024

Uncovering lipid dynamics in Staphylococcus aureus osteomyelitis using multimodal imaging mass spectrometry.

Christopher J Good, Casey E Butrico, Madeline E Colley, Lauren N Emmerson, Katherine N Gibson-Corley, James E Cassat, Jeffrey M Spraggins, Richard M Caprioli

Abstract read
In one paragraph

Article in Cell chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Enhancing the Sensitivity of Mass Spectrometry Imaging through Spatial Signal Averaging.Journal of the American Society for Mass Spectrometry · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Raman Monitoring ofInternational journal of molecular sciences · 2025
    Article
  13. Review
  14. MALDI TIMS IMS Reveals Ganglioside Molecular Diversity within MurineJournal of the American Society for Mass Spectrometry · 2024
    Article
4 · The record

Corrections and comments

  • Update of
    2023
5 · Who and what money

Authors and funding

8 authors.

Christopher J GoodMass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37235, USA; Department of Chemistry, Vanderbilt University, Nashville, TN 37235, USA.
Casey E ButricoDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Madeline E ColleyMass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37235, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA.
Lauren N EmmersonMass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37235, USA; Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN 37235, USA.
Katherine N Gibson-CorleyDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
James E CassatDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA; Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Jeffrey M SpragginsMass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37235, USA; Department of Chemistry, Vanderbilt University, Nashville, TN 37235, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA; Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: jeff.spraggins@vanderbilt.edu.
Richard M CaprioliMass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37235, USA; Department of Chemistry, Vanderbilt University, Nashville, TN 37235, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA; Department of Medicine, Vanderbilt University, Nashville, TN 37235, USA; Department of Pharmacology, Vanderbilt University, Nashville, TN 37235, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
TRAINING PROGRAM IN ENVIRONMENTAL TOXICOLOGYT32ES007028 · NIEHS · VANDERBILT UNIVERSITY · PI F PETER Guengerich, Fiona Edith Harrison · 1985 to 2026
$15.7M
Molecular mapping of microbial communities at the host-pathogen interface by multi-modal 3-dimensional imaging mass spectrometryR01AI138581 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Eric P Skaar, Jeffrey M Spraggins · 2018 to 2026
$5.2M
Chemical Biology of Infectious Diseases (CBID) Training ProgramT32AI112541 · NIAID · VANDERBILT UNIVERSITY · PI Eric P Skaar · 2015 to 2026
$4.0M
Defining the impact of host factors on the molecular architecture and bacterial physiology of Staphylococcus aureus abscessesR01AI145992 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASSAT, JAMES E, SKAAR, ERIC P · 2020 to 2024
$3.8M
Differential Inflammasome Regulation in the pathogenesis of S. aureus osteomyelitisR01AI161022 · NIAID · WASHINGTON UNIVERSITY · PI CASSAT, JAMES E, MBALAVIELE, GABRIEL · 2021 to 2025
$3.4M
Mechanisms of antibiotic failure during osteomyelitisR01AI173795 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JAMES E CASSAT · 2023 to 2026
$2.2M
The impact of hypoxia on Staphylococcus aureus metabolism and virulence during osteomyelitisR01AI132560 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASSAT, JAMES E · 2017 to 2021
$1.9M
15 Tesla Bruker SolariX FT-ICR mass spectrometerS10OD012359 · OD · VANDERBILT UNIVERSITY · PI CAPRIOLI, RICHARD M · 2012 to 2012
$1.6M
NCI NIH HHS P30 CA068485NIAID NIH HHS R01 AI132560NIAID NIH HHS R01 AI138581NIAID NIH HHS R01 AI145992NIAID NIH HHS R01 AI161022NIAID NIH HHS R01 AI173795NIAID NIH HHS T32 AI112541NIEHS NIH HHS T32 ES007028NIH HHS S10 OD012359
6 · The paper itself

Abstract

Osteomyelitis occurs when Staphylococcus aureus invades the bone microenvironment, resulting in a bone marrow abscess with a spatially defined architecture of cells and biomolecules. Imaging mass spectrometry and microscopy are tools that can be employed to interrogate the lipidome of S. aureus-infected murine femurs and reveal metabolic and signaling consequences of infection. Here, nearly 250 lipids were spatially mapped to healthy and infection-associated morphological features throughout the femur, establishing composition profiles for tissue types. Ether lipids and arachidonoyl lipids were altered between cells and tissue structures in abscesses, suggesting their roles in abscess formation and inflammatory signaling. Sterols, triglycerides, bis(monoacylglycero)phosphates, and gangliosides possessed ring-like distributions throughout the abscess, suggesting a hypothesized dysregulation of lipid metabolism in a population of cells that cannot be discerned with traditional microscopy. These data provide insight into the signaling function and metabolism of cells in the fibrotic border of abscesses, likely characteristic of lipid-laden macrophages.

Indexed as

Mass SpectrometryOsteomyelitisStaphylococcal InfectionsStaphylococcus aureusAbscessAnimalsFemaleFemurLipid MetabolismLipidomicsLipidsMiceMice, Inbred C57BLMultimodal ImagingLipidsarachidonic acidether lipidsfoam cellsImging mass spectrometrylipidomicsmacrophagesosteomyelitisspatial biologystaphylococcus aureus

Identifiers

PMID39389064
PMCPMC11977171

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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.