Evidence map›Paper›PMID 29930738›Full record

ArticleTheranostics2018

Molecular detection of inflammation in cell models using hyperpolarized

Renuka Sriram, Julia Nguyen, Justin DeLos Santos, Linda Nguyen, Jinny Sun, Seth Vigneron, Mark Van Criekinge, John Kurhanewicz, John D MacKenzie

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Expression of lactate dehydrogenase A and B isoforms in the mouse kidney.American journal of physiology. Renal physiology · 2021
    Article
  11. HyperpolarizedNMR in biomedicine · 2021
    Review
  12. Article
  13. Imaging Brain Metabolism Using HyperpolarizedTrends in neurosciences · 2020
    Review
  14. Article
  15. Article
  16. HyperpolarizedRadiology · 2019
    Review
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

9 authors at 2 institutions in 1 country.

Renuka SriramDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Julia NguyenDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Justin DeLos SantosDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Linda NguyenDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Jinny SunDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Seth VigneronDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Mark Van CriekingeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
John KurhanewiczDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
John D MacKenzieDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
University of California System · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection and treatment monitoring of inflammatory states remain challenging in part due to the multifactorial mechanisms of immune activation and spectrum of clinical manifestations. Currently, diagnostic strategies tend to be subjective and limited quantitative tools exist to monitor optimal treatment strategies. Pro-inflammatory M1 polarized macrophages exhibit a distinct metabolic glycolytic phenotype compared to the continuum of M2 polarization states. In the present study, the distinct metabolic phenotypes of resting and activated macrophages were successfully characterized and quantified using hyperpolarized carbon-13 (

Indexed as

AnimalsBiotransformationCarbon IsotopesCell LineGlycolysisImmunologic FactorsInflammationIsotope LabelingLactic AcidLipopolysaccharidesMacrophage ActivationMacrophagesMagnetic Resonance SpectroscopyMicePyruvic AcidCarbon IsotopesImmunologic FactorsLactic AcidLipopolysaccharidesPyruvic Aciddynamic nuclear polarization (DNP)hyperpolarized 13C nuclear magnetic resonance (MR)inflammationlactateM1 polarizationmacrophagespyruvate

Identifiers

PMID29930738
PMCPMC6010986
OpenAlexW2805256071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.