Evidence map›Paper›PMID 23681943›Full record

ArticleJournal of biophotonics2013

Photoacoustic and photothermal detection of circulating tumor cells, bacteria and nanoparticles in cerebrospinal fluid in vivo and ex vivo.

Dmitry A Nedosekin, Mazen A Juratli, Mustafa Sarimollaoglu, Christopher L Moore, Nancy J Rusch, Mark S Smeltzer, Vladimir P Zharov, Ekaterina I Galanzha

Abstract readEditorial
In one paragraph

Article in Journal of biophotonics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. The sound of blood: photoacoustic imaging in blood analysis.Medicine in novel technology and devices · 2023
    Article
  8. Review
  9. Frontiers in bioengineering and biotechnology · 2022
    Article
  10. Multi-scale optoacoustic molecular imaging of brain diseases.European journal of nuclear medicine and molecular imaging · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  19. Article
  20. 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

8 authors.

Dmitry A NedosekinWinthrop P. Rockefeller Cancer Institute, Arkansas Nanomedicine Center, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Mazen A Juratli
Mustafa Sarimollaoglu
Christopher L Moore
Nancy J Rusch
Mark S Smeltzer
Vladimir P Zharov
Ekaterina I Galanzha

Funding

Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
In vivo real-time detection of circulating melanoma cellsR01CA131164 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI SUEN, JAMES · 2009 to 2019
$3.1M
Photoswitchable nanoprobes for in vivo flow cytometryR01EB017217 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2014 to 2017
$1.3M
Multifunctional nanotubes for in vivo detecting/purging circulating cancer cellsR01EB009230 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2009 to 2012
$1.2M
A nanotherapeutic approach to combat staphylococcal biofilm-associated infectionR56AI093126 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2011 to 2011
$360k
Integrated Photothermal NanoprobesR21EB005123 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2006 to 2007
$332k
NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1TR000039NCI NIH HHS R01 CA131164NIAID NIH HHS R56 AI093126NIBIB NIH HHS R01 EB0005123NIBIB NIH HHS R01 EB009230NIBIB NIH HHS R01 EB017217NIBIB NIH HHS R21 EB005123NIGMS NIH HHS P20 GM103625
6 · The paper itself

Abstract

Circulating cells, bacteria, proteins, microparticles, and DNA in cerebrospinal fluid (CSF) are excellent biomarkers of many diseases, including cancer and infections. However, the sensitivity of existing methods is limited in their ability to detect rare CSF biomarkers at the treatable, early-stage of diseases. Here, we introduce novel CSF tests based on in vivo photoacoustic flow cytometry (PAFC) and ex vivo photothermal scanning cytometry. In the CSF of tumor-bearing mice, we molecularly detected in vivo circulating tumor cells (CTCs) before the development of breast cancer brain metastasis with 20-times higher sensitivity than with current assays. For the first time, we demonstrated assessing three pathways (i.e., blood, lymphatic, and CSF) of CTC dissemination, tracking nanoparticles in CSF in vivo and their imaging ex vivo. In label-free CSF samples, we counted leukocytes, erythrocytes, melanoma cells, and bacteria and imaged intracellular cytochromes, hemoglobin, melanin, and carotenoids, respectively. Taking into account the safety of PAFC, its translation for use in humans is expected to improve disease diagnosis beyond conventional detection limits.

Indexed as

Cerebrospinal FluidTemperatureAnimalsBacteriaBiomarkersCell Line, TumorFlow CytometryGoldHumansMammary Neoplasms, AnimalMiceMolecular ImagingNanoparticlesNeoplastic Cells, CirculatingPhotoacoustic TechniquesSpectrum AnalysisBiomarkersGold

Identifiers

PMID23681943
PMCPMC3954749

What OpenQuestion holds

Textmetadata
LicenceTDM
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.