Evidence map›Paper›PMID 29177200›Full record

ArticleJournal of applied bioanalysis2017

Spatial distribution of uranium in mice kidneys detected by laser ablation inductively coupled plasma mass spectrometry.

Venessa Jim, Corinne LaViolette, Margaret M Briehl, Jani C Ingram

Open access · goldAbstract read
In one paragraph

Article in Journal of applied bioanalysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Venessa JimDepartment of Chemistry & Biochemistry, Northern Arizona University, Flagstaff, USA.
Corinne LaVioletteDepartment of Chemistry & Biochemistry, Northern Arizona University, Flagstaff, USA.
Margaret M BriehlDepartment of Pathology, University of Arizona, Tucson, USA.
Jani C IngramDepartment of Chemistry & Biochemistry, Northern Arizona University, Flagstaff, USA.
University of Arizona · US

Funding

Training/Career Development and Education Core and PlansU54CA143925 · NCI · NORTHERN ARIZONA UNIVERSITY · PI Priscilla Rose Sanderson · 2009 to 2026
$27.5M
Uranium as an Environmental Risk Factor for Cancer Among the NavajoU54CA143924 · NCI · UNIVERSITY OF ARIZONA · PI Melissa Marie Herbst-Kralovetz, JUANITA L. MERCHANT · 2009 to 2026
$26.7M
NCI NIH HHS U54 CA143924NCI NIH HHS U54 CA143925
6 · The paper itself

Abstract

The aim of the study is to better understand where uranium deposits in mice kidneys. The spatial distribution of uranium was examined in the kidneys of C57BL/6 mice using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Mice were exposed to varying levels of uranyl nitrate in their drinking water. Calibration standards were developed to allow for semi-quantitative measurement of uranium in the cortical and medullary regions of mice kidney by LA-ICP-MS. Scanning electron microscopy was used to image the ablation patterns on the kidney. Uranium levels were observed to increase in kidney tissue as uranyl nitrate treatment exposure levels increased. A trend towards a higher uranium concentration in the medullary versus cortical region of the kidneys was observed. These results show the usefulness of LA-ICP-MS in toxicity studies by providing a quantitative, spatial assessment of uranium deposition in a target organ.

Indexed as

LA-ICP-MSmice kidneymicroprobeuranium

Identifiers

PMID29177200
PMCPMC5699501
OpenAlexW2620230419

What OpenQuestion 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 OpenQuestion graph.