Distribution of iron oxide nanoparticles in rat lymph nodes studied using electron energy loss spectroscopy (EELS) and electron spectroscopic imaging (ESI)

Bréchot, Christian; Sich, Mireille; Réty, F.; Bouet, O.; Cournot, Giulia; Cuenod, Charles‐André; Clémеnt, Olivier

doi:10.1002/1522-2586(200009)12:3<505::aid-jmri18>3.0.co;2-a

Cited by 22 publications

(10 citation statements)

References 18 publications

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“…Hence, there is a lack of research on the use of this technique individually. However, the power of this technique is in its application to studies on the distribution of metals in human organs and tissues (Aronova and Leapman, 2010;Aronova et al, 2009;Bordat et al, 2000;Leapman, 2003).…”

Section: Application Of the Eels In (Bio)imaging/mapping Elements In supporting

confidence: 71%

Bioanalytics in Quantitive (Bio)imaging/Mapping of Metallic Elements in Biological Samples

Jurowski

Buszewski

Piekoszewski

2014

Critical Reviews in Analytical Chemistry

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The aim of this article is to describe selected analytical techniques and their applications in the quantitative mapping/(bio)imaging of metals in biological samples. This work presents the advantages and disadvantages as well as the appropriate methods of scope for research. Distribution of metals in biological samples is currently one of the most important issues in physiology, toxicology, pharmacology, and other disciplines where functional information about the distribution of metals is essential. This issue is a subject of research in (bio)imaging/mapping studies, which use a variety of analytical techniques for the identification and determination of metallic elements. Increased interest in analytical techniques enabling the (bio)imaging of metals in a variety of biological material has been observed more recently. Measuring the distribution of trace metals in tissues after a drug dose or ingestion of poison-containing metals allows for the studying of pathomechanisms and the pathophysiology of various diseases and disorders related to the management of metals in human and animal systems.

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Section: Application Of the Eels In (Bio)imaging/mapping Elements In supporting

confidence: 71%

Bioanalytics in Quantitive (Bio)imaging/Mapping of Metallic Elements in Biological Samples

Jurowski

Buszewski

Piekoszewski

2014

Critical Reviews in Analytical Chemistry

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“…The optimal time for the postcontrast imaging with ferumoxtran-10 is 24-36 h, as established by early animal and human studies [18,19]. This time lag before performing the postcontrast imaging is essential to allow sufficient extraction of ferumoxtran-10 by normal functioning macrophages within the nodes.…”

Section: Discussionmentioning

confidence: 99%

Breast imaging. Preoperative breast cancer staging: comparison of USPIO-enhanced MR imaging and 18F-fluorodeoxyglucose (FDC) positron emission tomography (PET) imaging for axillary lymph node staging—initial findings

et al. 2006

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Magnetic resonance (MR) imaging after ultra-small super paramagnetic iron oxide (USPIO) injection and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) for preoperative axillary lymph node staging in patients with breast cancer were evaluated using histopathologic findings as the reference standard. USPIO-enhanced MR and FDG-PET were performed in ten patients with breast cancer who were scheduled for surgery and axillary node resection. T2-weighted fast spin echo, T1-weighted three-dimensional (3D) gradient echo, T2*-weighted gradient echo and gadolinium-enhanced T1-weighted 3D gradient echo with spectral fat saturation were evaluated. MR imaging before USPIO infusion was not performed. The results were correlated with FDG-PET (acquired with dedicated PET camera, visual analysis) and histological findings. The histopathologic axillary staging was negative for nodal malignancy in five patients and positive in the remaining five patients. There was one false positive finding for USPIO-enhanced MR and one false negative finding for FDG-PET. A sensitivity (true positive rate) of 100%, specificity (true negative rate) of 80%, positive predictive value of 80%, and negative predictive value of 100% were achieved for USPIO-enhanced MR and of 80%, 100%, 100%, 80% for FDG-PET, respectively. The most useful sequences in the detection of invaded lymph nodes were in the decreasing order: gadolinium-enhanced T1-weighted 3D gradient echo with fat saturation, T2*-weighted 2D gradient echo, T1-weighted 3D gradient echo and T2-weighted 2D spin echo. In our study, USPIO-enhanced T1 gradient echo after gadolinium injection and fat saturation emerged as a very useful sequence in the staging of lymph nodes. The combination of USPIO-enhanced MR and FDG-PET achieved 100% sensitivity, specificity, PPV and NPV. If these results are confirmed, the combination of USPIO MR with FDG-PET has the potential to identify the patient candidates for axillary dissection versus sentinel node lymphadenectomy.

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“…Recently, mapping of organic polymers and the redox iron status of bacterial extracellular matrixes have been studied by scanning transmission X-ray microscopy (21, 32). Electron energy loss spectroscopy (EELS) and/or electron spectroscopic imaging (ESI) techniques have successfully been used in eukaryotic tissue investigation in order to visualize ultrastructural localization of elements such as calcium, phosphorous, oxygen, nitrogen, zinc, copper, other light elements, and also iron (3,5,6,17,(23)(24)(25)39). EELS also allowed identification of phosphorus and thus DNA in an extracellular matrix produced by a Gram-negative bacterial isolate involved in biofilm formation (2).…”

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confidence: 99%

Iron Sources Used by the Nonpathogenic Lactic Acid Bacterium Lactobacillus sakei as Revealed by Electron Energy Loss Spectroscopy and Secondary-Ion Mass Spectrometry

Duhutrel¹,

Bréchot²,

et al. 2010

Appl Environ Microbiol

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Lactobacillus sakei is a lactic acid bacterium naturally found on meat. Although it is generally acknowledged that lactic acid bacteria are rare species in the microbial world which do not have iron requirements, the genome sequence of L. sakei 23K has revealed quite complete genetic equipment dedicated to transport and use of this metal. Here, we aimed to investigate which iron sources could be used by this species as well as their role in the bacterium's physiology. Therefore, we developed a microscopy approach based on electron energy loss spectroscopy (EELS) analysis and nano-scale secondary-ion mass spectrometry (SIMS) in order to analyze the iron content of L. sakei cells. This revealed that L. sakei can use iron sources found in its natural ecosystem, myoglobin, hemoglobin, hematin, and transferrin, to ensure long-term survival during stationary phase. This study reveals that analytical image methods (EELS and SIMS) are powerful complementary tools for investigation of metal utilization by bacteria.

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Distribution of iron oxide nanoparticles in rat lymph nodes studied using electron energy loss spectroscopy (EELS) and electron spectroscopic imaging (ESI)

Cited by 22 publications

References 18 publications

Bioanalytics in Quantitive (Bio)imaging/Mapping of Metallic Elements in Biological Samples

Bioanalytics in Quantitive (Bio)imaging/Mapping of Metallic Elements in Biological Samples

Breast imaging. Preoperative breast cancer staging: comparison of USPIO-enhanced MR imaging and 18F-fluorodeoxyglucose (FDC) positron emission tomography (PET) imaging for axillary lymph node staging—initial findings

Iron Sources Used by the Nonpathogenic Lactic Acid Bacterium Lactobacillus sakei as Revealed by Electron Energy Loss Spectroscopy and Secondary-Ion Mass Spectrometry

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